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aomedia / avm / ae397e6243e76b1875e26752765da2cc2e182030 / . / av1 / common / restoration.c
blob: bb19369675d9f21bbdac448114966f8b33bf5c5d [file] [log] [blame]
/*
* Copyright (c) 2021, Alliance for Open Media. All rights reserved
*
* This source code is subject to the terms of the BSD 3-Clause Clear License
* and the Alliance for Open Media Patent License 1.0. If the BSD 3-Clause Clear
* License was not distributed with this source code in the LICENSE file, you
* can obtain it at aomedia.org/license/software-license/bsd-3-c-c/. If the
* Alliance for Open Media Patent License 1.0 was not distributed with this
* source code in the PATENTS file, you can obtain it at
* aomedia.org/license/patent-license/.
*
*/
#include <math.h>
#include "config/aom_config.h"
#include "config/aom_dsp_rtcd.h"
#include "config/aom_scale_rtcd.h"
#include "aom_mem/aom_mem.h"
#include "av1/common/av1_common_int.h"
#include "av1/common/resize.h"
#include "av1/common/restoration.h"
#include "aom_dsp/aom_dsp_common.h"
#include "aom_mem/aom_mem.h"
#include "aom_ports/mem.h"
#if CONFIG_PC_WIENER || CONFIG_WIENER_NONSEP
// Origin-symmetric taps first then the last singleton tap.
static const int
pcwiener_tap_config_luma[2 * NUM_PC_WIENER_TAPS_LUMA - 1][3] = {
{ -3, 0, 0 }, { 3, 0, 0 }, { -2, -1, 1 }, { 2, 1, 1 }, { -2, 0, 2 },
{ 2, 0, 2 }, { -2, 1, 3 }, { 2, -1, 3 }, { -1, -2, 4 }, { 1, 2, 4 },
{ -1, -1, 5 }, { 1, 1, 5 }, { -1, 0, 6 }, { 1, 0, 6 }, { -1, 1, 7 },
{ 1, -1, 7 }, { -1, 2, 8 }, { 1, -2, 8 }, { 0, -3, 9 }, { 0, 3, 9 },
{ 0, -2, 10 }, { 0, 2, 10 }, { 0, -1, 11 }, { 0, 1, 11 }, { 0, 0, 12 },
};
#endif // CONFIG_PC_WIENER || CONFIG_WIENER_NONSEP
#if CONFIG_WIENER_NONSEP
#define AOM_WIENERNS_COEFF(p, b, m, k) \
{ (b) + (p)-6, (m) * (1 << ((p)-6)), k }
#define AOM_MAKE_WIENERNS_CONFIG(prec, config, coeff) \
{ \
{ (prec), sizeof(config) / sizeof(config[0]), 0, (config), NULL, 0, 1 }, \
sizeof(coeff) / sizeof(coeff[0]), (coeff) \
}
#define AOM_MAKE_WIENERNS_CONFIG2(prec, config, config2, coeff) \
{ \
{ (prec), \
sizeof(config) / sizeof(config[0]), \
sizeof(config2) / sizeof(config2[0]), \
(config), \
(config2), \
0, \
1 }, \
sizeof(coeff) / sizeof(coeff[0]), (coeff) \
}
///////////////////////////////////////////////////////////////////////////
// First filter configuration
///////////////////////////////////////////////////////////////////////////
const int wienerns_config_y[][3] = {
{ 1, 0, 0 }, { -1, 0, 0 }, { 0, 1, 1 }, { 0, -1, 1 }, { 2, 0, 2 },
{ -2, 0, 2 }, { 0, 2, 3 }, { 0, -2, 3 }, { 1, 1, 4 }, { -1, -1, 4 },
{ -1, 1, 5 }, { 1, -1, 5 }, { 2, 1, 6 }, { -2, -1, 6 }, { 2, -1, 7 },
{ -2, 1, 7 }, { 1, 2, 8 }, { -1, -2, 8 }, { 1, -2, 9 }, { -1, 2, 9 },
{ 3, 0, 10 }, { -3, 0, 10 }, { 0, 3, 11 }, { 0, -3, 11 },
#if USE_CENTER_WIENER_NONSEP
{ 0, 0, 12 },
#endif // USE_CENTER_WIENER_NONSEP
};
const int wienerns_config_uv_from_uv[][3] = {
{ 1, 0, 0 }, { -1, 0, 0 }, { 0, 1, 1 }, { 0, -1, 1 },
{ 1, 1, 2 }, { -1, -1, 2 }, { -1, 1, 3 }, { 1, -1, 3 },
{ 2, 0, 4 }, { -2, 0, 4 }, { 0, 2, 5 }, { 0, -2, 5 },
};
const int wienerns_config_uv_from_y[][3] = {
#if CONFIG_WIENER_NONSEP_CROSS_FILT
{ 1, 0, 6 }, { -1, 0, 6 }, { 0, 1, 7 }, { 0, -1, 7 },
{ 1, 1, 8 }, { -1, -1, 8 }, { -1, 1, 9 }, { 1, -1, 9 },
{ 2, 0, 10 }, { -2, 0, 10 }, { 0, 2, 11 }, { 0, -2, 11 },
#else
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
};
#define WIENERNS_PREC_BITS_Y 7
const int wienerns_coeff_y[][WIENERNS_COEFCFG_LEN] = {
#if ENABLE_LR_4PART_CODE
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
#if USE_CENTER_WIENER_NONSEP
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 5, -16, 0),
#endif // USE_CENTER_WIENER_NONSEP
#else
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 3, -4, 2),
#if USE_CENTER_WIENER_NONSEP
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y, 5, -16, 3),
#endif // USE_CENTER_WIENER_NONSEP
#endif // ENABLE_LR_4PART_CODE
};
#define WIENERNS_PREC_BITS_UV 7
const int wienerns_coeff_uv[][WIENERNS_COEFCFG_LEN] = {
#if ENABLE_LR_4PART_CODE
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 1),
#if CONFIG_WIENER_NONSEP_CROSS_FILT
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
#else
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 3),
#if CONFIG_WIENER_NONSEP_CROSS_FILT
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_UV, 3, -4, 2),
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
#endif // ENABLE_LR_4PART_CODE
};
const WienernsFilterParameters wienerns_filter_y = AOM_MAKE_WIENERNS_CONFIG(
WIENERNS_PREC_BITS_Y, wienerns_config_y, wienerns_coeff_y);
const WienernsFilterParameters wienerns_filter_uv =
AOM_MAKE_WIENERNS_CONFIG2(WIENERNS_PREC_BITS_UV, wienerns_config_uv_from_uv,
wienerns_config_uv_from_y, wienerns_coeff_uv);
const WienernsFilterPairParameters wienerns_filters_midqp = {
&wienerns_filter_y, &wienerns_filter_uv
};
// Configs for the first set of filters for the case without subtract center.
// Add a tap at (0, 0).
const int wienerns_wout_subtract_center_config_uv_from_uv[][3] = {
{ 1, 0, 0 }, { -1, 0, 0 }, { 0, 1, 1 }, { 0, -1, 1 }, { 1, 1, 2 },
{ -1, -1, 2 }, { -1, 1, 3 }, { 1, -1, 3 }, { 2, 0, 4 }, { -2, 0, 4 },
{ 0, 2, 5 }, { 0, -2, 5 }, { 0, 0, 6 },
};
// Adjust the beginning tap to account for the above change and add a tap at
// (0, 0).
const int wienerns_wout_subtract_center_config_uv_from_y[][3] = {
#if CONFIG_WIENER_NONSEP_CROSS_FILT
{ 1, 0, 7 }, { -1, 0, 7 }, { 0, 1, 8 }, { 0, -1, 8 }, { 1, 1, 9 },
{ -1, -1, 9 }, { -1, 1, 10 }, { 1, -1, 10 }, { 2, 0, 11 }, { -2, 0, 11 },
{ 0, 2, 12 }, { 0, -2, 12 }, { 0, 0, 13 },
#else
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
};
///////////////////////////////////////////////////////////////////////////
// Second filter configuration
///////////////////////////////////////////////////////////////////////////
const int wienerns_config_y2[][3] = {
{ 1, 0, 0 }, { -1, 0, 0 }, { 0, 1, 1 }, { 0, -1, 1 }, { 2, 0, 2 },
{ -2, 0, 2 }, { 0, 2, 3 }, { 0, -2, 3 }, { 1, 1, 4 }, { -1, -1, 4 },
{ -1, 1, 5 }, { 1, -1, 5 }, { 2, 1, 6 }, { -2, -1, 6 }, { 2, -1, 7 },
{ -2, 1, 7 }, { 1, 2, 8 }, { -1, -2, 8 }, { 1, -2, 9 }, { -1, 2, 9 },
#if USE_CENTER_WIENER_NONSEP
{ 0, 0, 10 },
#endif // USE_CENTER_WIENER_NONSEP
};
const int wienerns_config_uv_from_uv2[][3] = {
{ 1, 0, 0 }, { -1, 0, 0 }, { 0, 1, 1 }, { 0, -1, 1 },
{ 1, 1, 2 }, { -1, -1, 2 }, { -1, 1, 3 }, { 1, -1, 3 },
{ 2, 0, 4 }, { -2, 0, 4 }, { 0, 2, 5 }, { 0, -2, 5 },
};
const int wienerns_config_uv_from_y2[][3] = {
#if CONFIG_WIENER_NONSEP_CROSS_FILT
{ 1, 0, 6 }, { -1, 0, 6 }, { 0, 1, 7 }, { 0, -1, 7 },
{ 1, 1, 8 }, { -1, -1, 8 }, { -1, 1, 9 }, { 1, -1, 9 },
{ 2, 0, 10 }, { -2, 0, 10 }, { 0, 2, 11 }, { 0, -2, 11 },
#else
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
};
#define WIENERNS_PREC_BITS_Y2 7
const int wienerns_coeff_y2[][WIENERNS_COEFCFG_LEN] = {
#if ENABLE_LR_4PART_CODE
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
#if USE_CENTER_WIENER_NONSEP
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 5, -16, 0),
#endif // USE_CENTER_WIENER_NONSEP
#else
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 3, -4, 2),
#if USE_CENTER_WIENER_NONSEP
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y2, 5, -16, 3),
#endif // USE_CENTER_WIENER_NONSEP
#endif // ENABLE_LR_4PART_CODE
};
const WienernsFilterParameters wienerns_filter_y2 = AOM_MAKE_WIENERNS_CONFIG(
WIENERNS_PREC_BITS_Y2, wienerns_config_y2, wienerns_coeff_y2);
const WienernsFilterPairParameters wienerns_filters_highqp = {
&wienerns_filter_y2, &wienerns_filter_uv
};
///////////////////////////////////////////////////////////////////////////
// Third filter configuration
///////////////////////////////////////////////////////////////////////////
const int wienerns_config_y3[][3] = {
{ 1, 0, 0 }, { -1, 0, 0 }, { 0, 1, 1 }, { 0, -1, 1 }, { 2, 0, 2 },
{ -2, 0, 2 }, { 0, 2, 3 }, { 0, -2, 3 }, { 1, 1, 4 }, { -1, -1, 4 },
{ -1, 1, 5 }, { 1, -1, 5 }, { 2, 1, 6 }, { -2, -1, 6 }, { 2, -1, 7 },
{ -2, 1, 7 }, { 1, 2, 8 }, { -1, -2, 8 }, { 1, -2, 9 }, { -1, 2, 9 },
{ 3, 0, 10 }, { -3, 0, 10 }, { 0, 3, 11 }, { 0, -3, 11 }, { 2, 2, 12 },
{ -2, -2, 12 }, { -2, 2, 13 }, { 2, -2, 13 },
#if USE_CENTER_WIENER_NONSEP
{ 0, 0, 14 },
#endif // USE_CENTER_WIENER_NONSEP
};
const int wienerns_config_uv_from_uv3[][3] = {
{ 1, 0, 0 }, { -1, 0, 0 }, { 0, 1, 1 }, { 0, -1, 1 },
{ 1, 1, 2 }, { -1, -1, 2 }, { -1, 1, 3 }, { 1, -1, 3 },
{ 2, 0, 4 }, { -2, 0, 4 }, { 0, 2, 5 }, { 0, -2, 5 },
};
const int wienerns_config_uv_from_y3[][3] = {
#if CONFIG_WIENER_NONSEP_CROSS_FILT
{ 1, 0, 6 }, { -1, 0, 6 }, { 0, 1, 7 }, { 0, -1, 7 },
{ 1, 1, 8 }, { -1, -1, 8 }, { -1, 1, 9 }, { 1, -1, 9 },
{ 2, 0, 10 }, { -2, 0, 10 }, { 0, 2, 11 }, { 0, -2, 11 },
#else
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
{ 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 }, { 0, 0, 0 },
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
};
#define WIENERNS_PREC_BITS_Y3 7
const int wienerns_coeff_y3[][WIENERNS_COEFCFG_LEN] = {
#if ENABLE_LR_4PART_CODE
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 5, -12, 0),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -7, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -8, 1),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
#if USE_CENTER_WIENER_NONSEP
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 5, -16, 0),
#endif // USE_CENTER_WIENER_NONSEP
#else
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 5, -12, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -7, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 4, -8, 3),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 3, -4, 2),
#if USE_CENTER_WIENER_NONSEP
AOM_WIENERNS_COEFF(WIENERNS_PREC_BITS_Y3, 5, -16, 3),
#endif // USE_CENTER_WIENER_NONSEP
#endif // ENABLE_LR_4PART_CODE
};
const WienernsFilterParameters wienerns_filter_y3 = AOM_MAKE_WIENERNS_CONFIG(
WIENERNS_PREC_BITS_Y3, wienerns_config_y3, wienerns_coeff_y3);
const WienernsFilterPairParameters wienerns_filters_lowqp = {
&wienerns_filter_y3, &wienerns_filter_uv
};
#endif // CONFIG_WIENER_NONSEP
// The 's' values are calculated based on original 'r' and 'e' values in the
// spec using GenSgrprojVtable().
// Note: Setting r = 0 skips the filter; with corresponding s = -1 (invalid).
const sgr_params_type av1_sgr_params[SGRPROJ_PARAMS] = {
{ { 2, 1 }, { 140, 3236 } }, { { 2, 1 }, { 112, 2158 } },
{ { 2, 1 }, { 93, 1618 } }, { { 2, 1 }, { 80, 1438 } },
{ { 2, 1 }, { 70, 1295 } }, { { 2, 1 }, { 58, 1177 } },
{ { 2, 1 }, { 47, 1079 } }, { { 2, 1 }, { 37, 996 } },
{ { 2, 1 }, { 30, 925 } }, { { 2, 1 }, { 25, 863 } },
{ { 0, 1 }, { -1, 2589 } }, { { 0, 1 }, { -1, 1618 } },
{ { 0, 1 }, { -1, 1177 } }, { { 0, 1 }, { -1, 925 } },
{ { 2, 0 }, { 56, -1 } }, { { 2, 0 }, { 22, -1 } },
};
AV1PixelRect av1_whole_frame_rect(const AV1_COMMON *cm, int is_uv) {
AV1PixelRect rect;
int ss_x = is_uv && cm->seq_params.subsampling_x;
int ss_y = is_uv && cm->seq_params.subsampling_y;
rect.top = 0;
rect.bottom = ROUND_POWER_OF_TWO(cm->superres_upscaled_height, ss_y);
rect.left = 0;
rect.right = ROUND_POWER_OF_TWO(cm->superres_upscaled_width, ss_x);
return rect;
}
// Count horizontal or vertical units per tile (use a width or height for
// tile_size, respectively). We basically want to divide the tile size by the
// size of a restoration unit. Rather than rounding up unconditionally as you
// might expect, we round to nearest, which models the way a right or bottom
// restoration unit can extend to up to 150% its normal width or height. The
// max with 1 is to deal with tiles that are smaller than half of a restoration
// unit.
int av1_lr_count_units_in_tile(int unit_size, int tile_size) {
return AOMMAX((tile_size + (unit_size >> 1)) / unit_size, 1);
}
// Finds a pixel rectangle for a RU, given the limits in ru domain
// (i.e. ru_start_row, ru_end_row, ru_start_col, ru_end_col)
// and the ru size (ru_height and ru_width).
// Note that offset RUs vertically by RESTORATION_UNIT_OFFSET for luma,
// and RESTORATION_UNIT_OFFSET >> ss_y for chroma, so
// that the first RU in col is shorter than the rest.
// Note the limits of the last RU in row or col is simply the size
// of the image, which makes the last RU either bigger or smaller
// than the other RUs.
AV1PixelRect av1_get_rutile_rect(const AV1_COMMON *cm, int plane,
int ru_start_row, int ru_end_row,
int ru_start_col, int ru_end_col,
int ru_height, int ru_width) {
AV1PixelRect rect;
const RestorationInfo *rsi = &cm->rst_info[plane];
int ss_x = plane && cm->seq_params.subsampling_x;
int ss_y = plane && cm->seq_params.subsampling_y;
const int plane_height =
ROUND_POWER_OF_TWO(cm->superres_upscaled_height, ss_y);
const int plane_width = ROUND_POWER_OF_TWO(cm->superres_upscaled_width, ss_x);
const int runit_offset = RESTORATION_UNIT_OFFSET >> ss_y;
// Top limit is a multiple of RU height minus the offset, clamped to be
// non-negative. So the first RU vertically is shorter than the rest.
// The bottom limit is similar except for the apecial case for the last RU.
rect.top = AOMMAX(ru_start_row * ru_height - runit_offset, 0);
rect.bottom = rsi->vert_units_per_tile == ru_end_row
? plane_height
: AOMMAX(ru_end_row * ru_height - runit_offset, 0);
// Left limit is a multiple of RU width.
// The right limit is similar except for the apecial case for the last RU.
rect.left = ru_start_col * ru_width;
rect.right = rsi->horz_units_per_tile == ru_end_col ? plane_width
: ru_end_col * ru_width;
return rect;
}
void av1_alloc_restoration_struct(AV1_COMMON *cm, RestorationInfo *rsi,
int is_uv) {
// We need to allocate enough space for restoration units to cover the
// largest tile. Without CONFIG_MAX_TILE, this is always the tile at the
// top-left and we can use av1_get_tile_rect(). With CONFIG_MAX_TILE, we have
// to do the computation ourselves, iterating over the tiles and keeping
// track of the largest width and height, then upscaling.
const AV1PixelRect tile_rect = av1_whole_frame_rect(cm, is_uv);
const int max_tile_w = tile_rect.right - tile_rect.left;
const int max_tile_h = tile_rect.bottom - tile_rect.top;
// To calculate hpertile and vpertile (horizontal and vertical units per
// tile), we basically want to divide the largest tile width or height by the
// size of a restoration unit. Rather than rounding up unconditionally as you
// might expect, we round to nearest, which models the way a right or bottom
// restoration unit can extend to up to 150% its normal width or height. The
// max with 1 is to deal with tiles that are smaller than half of a
// restoration unit.
const int unit_size = rsi->restoration_unit_size;
const int hpertile = av1_lr_count_units_in_tile(unit_size, max_tile_w);
const int vpertile = av1_lr_count_units_in_tile(unit_size, max_tile_h);
rsi->units_per_tile = hpertile * vpertile;
rsi->horz_units_per_tile = hpertile;
rsi->vert_units_per_tile = vpertile;
const int ntiles = 1;
const int nunits = ntiles * rsi->units_per_tile;
aom_free(rsi->unit_info);
CHECK_MEM_ERROR(cm, rsi->unit_info,
(RestorationUnitInfo *)aom_memalign(
16, sizeof(*rsi->unit_info) * nunits));
}
void av1_free_restoration_struct(RestorationInfo *rst_info) {
aom_free(rst_info->unit_info);
rst_info->unit_info = NULL;
}
#if 0
// Pair of values for each sgrproj parameter:
// Index 0 corresponds to r[0], e[0]
// Index 1 corresponds to r[1], e[1]
int sgrproj_mtable[SGRPROJ_PARAMS][2];
static void GenSgrprojVtable() {
for (int i = 0; i < SGRPROJ_PARAMS; ++i) {
const sgr_params_type *const params = &av1_sgr_params[i];
for (int j = 0; j < 2; ++j) {
const int e = params->e[j];
const int r = params->r[j];
if (r == 0) { // filter is disabled
sgrproj_mtable[i][j] = -1; // mark invalid
} else { // filter is enabled
const int n = (2 * r + 1) * (2 * r + 1);
const int n2e = n * n * e;
assert(n2e != 0);
sgrproj_mtable[i][j] = (((1 << SGRPROJ_MTABLE_BITS) + n2e / 2) / n2e);
}
}
}
}
#endif
void av1_loop_restoration_precal() {
#if 0
GenSgrprojVtable();
#endif
}
static void extend_frame_highbd(uint16_t *data, int width, int height,
int stride, int border_horz, int border_vert) {
uint16_t *data_p;
int i, j;
for (i = 0; i < height; ++i) {
data_p = data + i * stride;
for (j = -border_horz; j < 0; ++j) data_p[j] = data_p[0];
for (j = width; j < width + border_horz; ++j) data_p[j] = data_p[width - 1];
}
data_p = data - border_horz;
for (i = -border_vert; i < 0; ++i) {
memcpy(data_p + i * stride, data_p,
(width + 2 * border_horz) * sizeof(uint16_t));
}
for (i = height; i < height + border_vert; ++i) {
memcpy(data_p + i * stride, data_p + (height - 1) * stride,
(width + 2 * border_horz) * sizeof(uint16_t));
}
}
static void copy_tile_highbd(int width, int height, const uint16_t *src,
int src_stride, uint16_t *dst, int dst_stride) {
for (int i = 0; i < height; ++i)
memcpy(dst + i * dst_stride, src + i * src_stride, width * sizeof(*dst));
}
void av1_extend_frame(uint16_t *data, int width, int height, int stride,
int border_horz, int border_vert) {
extend_frame_highbd(data, width, height, stride, border_horz, border_vert);
}
static void copy_tile(int width, int height, const uint16_t *src,
int src_stride, uint16_t *dst, int dst_stride) {
copy_tile_highbd(width, height, src, src_stride, dst, dst_stride);
}
// With striped loop restoration, the filtering for each 64-pixel stripe gets
// most of its input from the output of CDEF (stored in data8), but we need to
// fill out a border of 3 pixels above/below the stripe according to the
// following
// rules:
//
// * At a frame boundary, we copy the outermost row of CDEF pixels three times.
// This extension is done by a call to av1_extend_frame() at the start of the
// loop restoration process, so the value of copy_above/copy_below doesn't
// strictly matter. However, by setting *copy_above = *copy_below = 1 whenever
// loop filtering across tiles is disabled, we can allow
// {setup,restore}_processing_stripe_boundary to assume that the top/bottom
// data has always been copied, simplifying the behaviour at the left and
// right edges of tiles.
//
// * If we're at a tile boundary and loop filtering across tiles is enabled,
// then there is a logical stripe which is 64 pixels high, but which is split
// into an 8px high and a 56px high stripe so that the processing (and
// coefficient set usage) can be aligned to tiles.
// In this case, we use the 3 rows of CDEF output across the boundary for
// context; this corresponds to leaving the frame buffer as-is.
//
// * If we're at a tile boundary and loop filtering across tiles is disabled,
// then we take the outermost row of CDEF pixels *within the current tile*
// and copy it three times. Thus we behave exactly as if the tile were a full
// frame.
//
// * Otherwise, we're at a stripe boundary within a tile. In that case, we
// take 2 rows of deblocked pixels and extend them to 3 rows of context.
//
// The distinction between the latter two cases is handled by the
// av1_loop_restoration_save_boundary_lines() function, so here we just need
// to decide if we're overwriting the above/below boundary pixels or not.
static void get_stripe_boundary_info(const RestorationTileLimits *limits,
const AV1PixelRect *tile_rect, int ss_y,
int *copy_above, int *copy_below) {
*copy_above = 1;
*copy_below = 1;
const int full_stripe_height = RESTORATION_PROC_UNIT_SIZE >> ss_y;
const int runit_offset = RESTORATION_UNIT_OFFSET >> ss_y;
const int first_stripe_in_tile = (limits->v_start == tile_rect->top);
const int this_stripe_height =
full_stripe_height - (first_stripe_in_tile ? runit_offset : 0);
const int last_stripe_in_tile =
(limits->v_start + this_stripe_height >= tile_rect->bottom);
if (first_stripe_in_tile) *copy_above = 0;
if (last_stripe_in_tile) *copy_below = 0;
}
// Overwrite the border pixels around a processing stripe so that the conditions
// listed above get_stripe_boundary_info() are preserved.
// We save the pixels which get overwritten into a temporary buffer, so that
// they can be restored by restore_processing_stripe_boundary() after we've
// processed the stripe.
//
// limits gives the rectangular limits of the remaining stripes for the current
// restoration unit. rsb is the stored stripe boundaries (taken from either
// deblock or CDEF output as necessary).
//
// tile_rect is the limits of the current tile and tile_stripe0 is the index of
// the first stripe in this tile (needed to convert the tile-relative stripe
// index we get from limits into something we can look up in rsb).
static void setup_processing_stripe_boundary(
const RestorationTileLimits *limits, const RestorationStripeBoundaries *rsb,
int rsb_row, int h, uint16_t *data, int data_stride,
RestorationLineBuffers *rlbs, int copy_above, int copy_below, int opt) {
// Offsets within the line buffers. The buffer logically starts at column
// -RESTORATION_EXTRA_HORZ so the 1st column (at x0 - RESTORATION_EXTRA_HORZ)
// has column x0 in the buffer.
const int buf_stride = rsb->stripe_boundary_stride;
const int buf_x0_off = limits->h_start;
const int line_width =
(limits->h_end - limits->h_start) + 2 * RESTORATION_EXTRA_HORZ;
const int line_size = line_width << 1;
const int data_x0 = limits->h_start - RESTORATION_EXTRA_HORZ;
// Replace RESTORATION_BORDER pixels above the top of the stripe
// We expand RESTORATION_CTX_VERT=2 lines from rsb->stripe_boundary_above
// to fill RESTORATION_BORDER=3 lines of above pixels. This is done by
// duplicating the topmost of the 2 lines (see the AOMMAX call when
// calculating src_row, which gets the values 0, 0, 1 for i = -3, -2, -1).
//
// Special case: If we're at the top of a tile, which isn't on the topmost
// tile row, and we're allowed to loop filter across tiles, then we have a
// logical 64-pixel-high stripe which has been split into an 8-pixel high
// stripe and a 56-pixel high stripe (the current one). So, in this case,
// we want to leave the boundary alone!
if (!opt) {
if (copy_above) {
uint16_t *data_tl = data + data_x0 + limits->v_start * data_stride;
for (int i = -RESTORATION_BORDER; i < 0; ++i) {
const int buf_row = rsb_row + AOMMAX(i + RESTORATION_CTX_VERT, 0);
const int buf_off = buf_x0_off + buf_row * buf_stride;
const uint16_t *buf = rsb->stripe_boundary_above + buf_off;
uint16_t *dst = data_tl + i * data_stride;
// Save old pixels, then replace with data from stripe_boundary_above
memcpy(rlbs->tmp_save_above[i + RESTORATION_BORDER], dst, line_size);
memcpy(dst, buf, line_size);
}
}
// Replace RESTORATION_BORDER pixels below the bottom of the stripe.
// The second buffer row is repeated, so src_row gets the values 0, 1, 1
// for i = 0, 1, 2.
if (copy_below) {
const int stripe_end = limits->v_start + h;
uint16_t *data_bl = data + data_x0 + stripe_end * data_stride;
for (int i = 0; i < RESTORATION_BORDER; ++i) {
const int buf_row = rsb_row + AOMMIN(i, RESTORATION_CTX_VERT - 1);
const int buf_off = buf_x0_off + buf_row * buf_stride;
const uint16_t *src = rsb->stripe_boundary_below + buf_off;
uint16_t *dst = data_bl + i * data_stride;
// Save old pixels, then replace with data from stripe_boundary_below
memcpy(rlbs->tmp_save_below[i], dst, line_size);
memcpy(dst, src, line_size);
}
}
} else {
if (copy_above) {
uint16_t *data_tl = data + data_x0 + limits->v_start * data_stride;
// Only save and overwrite i=-RESTORATION_BORDER line.
uint16_t *dst = data_tl + (-RESTORATION_BORDER) * data_stride;
// Save old pixels, then replace with data from stripe_boundary_above
memcpy(rlbs->tmp_save_above[0], dst, line_size);
memcpy(dst, data_tl + (-RESTORATION_BORDER + 1) * data_stride, line_size);
}
if (copy_below) {
const int stripe_end = limits->v_start + h;
uint16_t *data_bl = data + data_x0 + stripe_end * data_stride;
// Only save and overwrite i=2 line.
uint16_t *dst = data_bl + 2 * data_stride;
// Save old pixels, then replace with data from stripe_boundary_below
memcpy(rlbs->tmp_save_below[2], dst, line_size);
memcpy(dst, data_bl + (2 - 1) * data_stride, line_size);
}
}
}
// This function restores the boundary lines modified by
// setup_processing_stripe_boundary.
//
// Note: We need to be careful when handling the corners of the processing
// unit, because (eg.) the top-left corner is considered to be part of
// both the left and top borders. This means that, depending on the
// loop_filter_across_tiles_enabled flag, the corner pixels might get
// overwritten twice, once as part of the "top" border and once as part
// of the "left" border (or similar for other corners).
//
// Everything works out fine as long as we make sure to reverse the order
// when restoring, ie. we need to restore the left/right borders followed
// by the top/bottom borders.
static void restore_processing_stripe_boundary(
const RestorationTileLimits *limits, const RestorationLineBuffers *rlbs,
int h, uint16_t *data, int data_stride, int copy_above, int copy_below,
int opt) {
const int line_width =
(limits->h_end - limits->h_start) + 2 * RESTORATION_EXTRA_HORZ;
const int line_size = line_width << 1;
const int data_x0 = limits->h_start - RESTORATION_EXTRA_HORZ;
if (!opt) {
if (copy_above) {
uint16_t *data_tl = data + data_x0 + limits->v_start * data_stride;
for (int i = -RESTORATION_BORDER; i < 0; ++i) {
uint16_t *dst = data_tl + i * data_stride;
memcpy(dst, rlbs->tmp_save_above[i + RESTORATION_BORDER], line_size);
}
}
if (copy_below) {
const int stripe_bottom = limits->v_start + h;
uint16_t *data_bl = data + data_x0 + stripe_bottom * data_stride;
for (int i = 0; i < RESTORATION_BORDER; ++i) {
if (stripe_bottom + i >= limits->v_end + RESTORATION_BORDER) break;
uint16_t *dst = data_bl + i * data_stride;
memcpy(dst, rlbs->tmp_save_below[i], line_size);
}
}
} else {
if (copy_above) {
uint16_t *data_tl = data + data_x0 + limits->v_start * data_stride;
// Only restore i=-RESTORATION_BORDER line.
uint16_t *dst = data_tl + (-RESTORATION_BORDER) * data_stride;
memcpy(dst, rlbs->tmp_save_above[0], line_size);
}
if (copy_below) {
const int stripe_bottom = limits->v_start + h;
uint16_t *data_bl = data + data_x0 + stripe_bottom * data_stride;
// Only restore i=2 line.
if (stripe_bottom + 2 < limits->v_end + RESTORATION_BORDER) {
uint16_t *dst = data_bl + 2 * data_stride;
memcpy(dst, rlbs->tmp_save_below[2], line_size);
}
}
}
}
/* Calculate windowed sums (if sqr=0) or sums of squares (if sqr=1)
over the input. The window is of size (2r + 1)x(2r + 1), and we
specialize to r = 1, 2, 3. A default function is used for r > 3.
Each loop follows the same format: We keep a window's worth of input
in individual variables and select data out of that as appropriate.
*/
static void boxsum1(int32_t *src, int width, int height, int src_stride,
int sqr, int32_t *dst, int dst_stride) {
int i, j, a, b, c;
assert(width > 2 * SGRPROJ_BORDER_HORZ);
assert(height > 2 * SGRPROJ_BORDER_VERT);
// Vertical sum over 3-pixel regions, from src into dst.
if (!sqr) {
for (j = 0; j < width; ++j) {
a = src[j];
b = src[src_stride + j];
c = src[2 * src_stride + j];
dst[j] = a + b;
for (i = 1; i < height - 2; ++i) {
// Loop invariant: At the start of each iteration,
// a = src[(i - 1) * src_stride + j]
// b = src[(i ) * src_stride + j]
// c = src[(i + 1) * src_stride + j]
dst[i * dst_stride + j] = a + b + c;
a = b;
b = c;
c = src[(i + 2) * src_stride + j];
}
dst[i * dst_stride + j] = a + b + c;
dst[(i + 1) * dst_stride + j] = b + c;
}
} else {
for (j = 0; j < width; ++j) {
a = src[j] * src[j];
b = src[src_stride + j] * src[src_stride + j];
c = src[2 * src_stride + j] * src[2 * src_stride + j];
dst[j] = a + b;
for (i = 1; i < height - 2; ++i) {
dst[i * dst_stride + j] = a + b + c;
a = b;
b = c;
c = src[(i + 2) * src_stride + j] * src[(i + 2) * src_stride + j];
}
dst[i * dst_stride + j] = a + b + c;
dst[(i + 1) * dst_stride + j] = b + c;
}
}
// Horizontal sum over 3-pixel regions of dst
for (i = 0; i < height; ++i) {
a = dst[i * dst_stride];
b = dst[i * dst_stride + 1];
c = dst[i * dst_stride + 2];
dst[i * dst_stride] = a + b;
for (j = 1; j < width - 2; ++j) {
// Loop invariant: At the start of each iteration,
// a = src[i * src_stride + (j - 1)]
// b = src[i * src_stride + (j )]
// c = src[i * src_stride + (j + 1)]
dst[i * dst_stride + j] = a + b + c;
a = b;
b = c;
c = dst[i * dst_stride + (j + 2)];
}
dst[i * dst_stride + j] = a + b + c;
dst[i * dst_stride + (j + 1)] = b + c;
}
}
static void boxsum2(int32_t *src, int width, int height, int src_stride,
int sqr, int32_t *dst, int dst_stride) {
int i, j, a, b, c, d, e;
assert(width > 2 * SGRPROJ_BORDER_HORZ);
assert(height > 2 * SGRPROJ_BORDER_VERT);
// Vertical sum over 5-pixel regions, from src into dst.
if (!sqr) {
for (j = 0; j < width; ++j) {
a = src[j];
b = src[src_stride + j];
c = src[2 * src_stride + j];
d = src[3 * src_stride + j];
e = src[4 * src_stride + j];
dst[j] = a + b + c;
dst[dst_stride + j] = a + b + c + d;
for (i = 2; i < height - 3; ++i) {
// Loop invariant: At the start of each iteration,
// a = src[(i - 2) * src_stride + j]
// b = src[(i - 1) * src_stride + j]
// c = src[(i ) * src_stride + j]
// d = src[(i + 1) * src_stride + j]
// e = src[(i + 2) * src_stride + j]
dst[i * dst_stride + j] = a + b + c + d + e;
a = b;
b = c;
c = d;
d = e;
e = src[(i + 3) * src_stride + j];
}
dst[i * dst_stride + j] = a + b + c + d + e;
dst[(i + 1) * dst_stride + j] = b + c + d + e;
dst[(i + 2) * dst_stride + j] = c + d + e;
}
} else {
for (j = 0; j < width; ++j) {
a = src[j] * src[j];
b = src[src_stride + j] * src[src_stride + j];
c = src[2 * src_stride + j] * src[2 * src_stride + j];
d = src[3 * src_stride + j] * src[3 * src_stride + j];
e = src[4 * src_stride + j] * src[4 * src_stride + j];
dst[j] = a + b + c;
dst[dst_stride + j] = a + b + c + d;
for (i = 2; i < height - 3; ++i) {
dst[i * dst_stride + j] = a + b + c + d + e;
a = b;
b = c;
c = d;
d = e;
e = src[(i + 3) * src_stride + j] * src[(i + 3) * src_stride + j];
}
dst[i * dst_stride + j] = a + b + c + d + e;
dst[(i + 1) * dst_stride + j] = b + c + d + e;
dst[(i + 2) * dst_stride + j] = c + d + e;
}
}
// Horizontal sum over 5-pixel regions of dst
for (i = 0; i < height; ++i) {
a = dst[i * dst_stride];
b = dst[i * dst_stride + 1];
c = dst[i * dst_stride + 2];
d = dst[i * dst_stride + 3];
e = dst[i * dst_stride + 4];
dst[i * dst_stride] = a + b + c;
dst[i * dst_stride + 1] = a + b + c + d;
for (j = 2; j < width - 3; ++j) {
// Loop invariant: At the start of each iteration,
// a = src[i * src_stride + (j - 2)]
// b = src[i * src_stride + (j - 1)]
// c = src[i * src_stride + (j )]
// d = src[i * src_stride + (j + 1)]
// e = src[i * src_stride + (j + 2)]
dst[i * dst_stride + j] = a + b + c + d + e;
a = b;
b = c;
c = d;
d = e;
e = dst[i * dst_stride + (j + 3)];
}
dst[i * dst_stride + j] = a + b + c + d + e;
dst[i * dst_stride + (j + 1)] = b + c + d + e;
dst[i * dst_stride + (j + 2)] = c + d + e;
}
}
static void boxsum(int32_t *src, int width, int height, int src_stride, int r,
int sqr, int32_t *dst, int dst_stride) {
if (r == 1)
boxsum1(src, width, height, src_stride, sqr, dst, dst_stride);
else if (r == 2)
boxsum2(src, width, height, src_stride, sqr, dst, dst_stride);
else
assert(0 && "Invalid value of r in self-guided filter");
}
void av1_decode_xq(const int *xqd, int *xq, const sgr_params_type *params) {
if (params->r[0] == 0) {
xq[0] = 0;
xq[1] = (1 << SGRPROJ_PRJ_BITS) - xqd[1];
} else if (params->r[1] == 0) {
xq[0] = xqd[0];
xq[1] = 0;
} else {
xq[0] = xqd[0];
xq[1] = (1 << SGRPROJ_PRJ_BITS) - xq[0] - xqd[1];
}
}
const int32_t av1_x_by_xplus1[256] = {
// Special case: Map 0 -> 1 (corresponding to a value of 1/256)
// instead of 0. See comments in selfguided_restoration_internal() for why
1, 128, 171, 192, 205, 213, 219, 224, 228, 230, 233, 235, 236, 238, 239,
240, 241, 242, 243, 243, 244, 244, 245, 245, 246, 246, 247, 247, 247, 247,
248, 248, 248, 248, 249, 249, 249, 249, 249, 250, 250, 250, 250, 250, 250,
250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252,
252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253,
253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253,
253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254,
254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254,
254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254,
254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254,
254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254,
254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
256,
};
const int32_t av1_one_by_x[MAX_NELEM] = {
4096, 2048, 1365, 1024, 819, 683, 585, 512, 455, 410, 372, 341, 315,
293, 273, 256, 241, 228, 216, 205, 195, 186, 178, 171, 164,
};
static void calculate_intermediate_result(int32_t *dgd, int width, int height,
int dgd_stride, int bit_depth,
int sgr_params_idx, int radius_idx,
int pass, int32_t *A, int32_t *B) {
const sgr_params_type *const params = &av1_sgr_params[sgr_params_idx];
const int r = params->r[radius_idx];
const int width_ext = width + 2 * SGRPROJ_BORDER_HORZ;
const int height_ext = height + 2 * SGRPROJ_BORDER_VERT;
// Adjusting the stride of A and B here appears to avoid bad cache effects,
// leading to a significant speed improvement.
// We also align the stride to a multiple of 16 bytes, for consistency
// with the SIMD version of this function.
int buf_stride = ((width_ext + 3) & ~3) + 16;
const int step = pass == 0 ? 1 : 2;
int i, j;
assert(r <= MAX_RADIUS && "Need MAX_RADIUS >= r");
assert(r <= SGRPROJ_BORDER_VERT - 1 && r <= SGRPROJ_BORDER_HORZ - 1 &&
"Need SGRPROJ_BORDER_* >= r+1");
boxsum(dgd - dgd_stride * SGRPROJ_BORDER_VERT - SGRPROJ_BORDER_HORZ,
width_ext, height_ext, dgd_stride, r, 0, B, buf_stride);
boxsum(dgd - dgd_stride * SGRPROJ_BORDER_VERT - SGRPROJ_BORDER_HORZ,
width_ext, height_ext, dgd_stride, r, 1, A, buf_stride);
A += SGRPROJ_BORDER_VERT * buf_stride + SGRPROJ_BORDER_HORZ;
B += SGRPROJ_BORDER_VERT * buf_stride + SGRPROJ_BORDER_HORZ;
// Calculate the eventual A[] and B[] arrays. Include a 1-pixel border - ie,
// for a 64x64 processing unit, we calculate 66x66 pixels of A[] and B[].
for (i = -1; i < height + 1; i += step) {
for (j = -1; j < width + 1; ++j) {
const int k = i * buf_stride + j;
const int n = (2 * r + 1) * (2 * r + 1);
// a < 2^16 * n < 2^22 regardless of bit depth
uint32_t a = ROUND_POWER_OF_TWO(A[k], 2 * (bit_depth - 8));
// b < 2^8 * n < 2^14 regardless of bit depth
uint32_t b = ROUND_POWER_OF_TWO(B[k], bit_depth - 8);
// Each term in calculating p = a * n - b * b is < 2^16 * n^2 < 2^28,
// and p itself satisfies p < 2^14 * n^2 < 2^26.
// This bound on p is due to:
// https://en.wikipedia.org/wiki/Popoviciu's_inequality_on_variances
//
// Note: Sometimes, in high bit depth, we can end up with a*n < b*b.
// This is an artefact of rounding, and can only happen if all pixels
// are (almost) identical, so in this case we saturate to p=0.
uint32_t p = (a * n < b * b) ? 0 : a * n - b * b;
const uint32_t s = params->s[radius_idx];
// p * s < (2^14 * n^2) * round(2^20 / n^2 eps) < 2^34 / eps < 2^32
// as long as eps >= 4. So p * s fits into a uint32_t, and z < 2^12
// (this holds even after accounting for the rounding in s)
const uint32_t z = ROUND_POWER_OF_TWO(p * s, SGRPROJ_MTABLE_BITS);
// Note: We have to be quite careful about the value of A[k].
// This is used as a blend factor between individual pixel values and the
// local mean. So it logically has a range of [0, 256], including both
// endpoints.
//
// This is a pain for hardware, as we'd like something which can be stored
// in exactly 8 bits.
// Further, in the calculation of B[k] below, if z == 0 and r == 2,
// then A[k] "should be" 0. But then we can end up setting B[k] to a value
// slightly above 2^(8 + bit depth), due to rounding in the value of
// av1_one_by_x[25-1].
//
// Thus we saturate so that, when z == 0, A[k] is set to 1 instead of 0.
// This fixes the above issues (256 - A[k] fits in a uint8, and we can't
// overflow), without significantly affecting the final result: z == 0
// implies that the image is essentially "flat", so the local mean and
// individual pixel values are very similar.
//
// Note that saturating on the other side, ie. requring A[k] <= 255,
// would be a bad idea, as that corresponds to the case where the image
// is very variable, when we want to preserve the local pixel value as
// much as possible.
A[k] = av1_x_by_xplus1[AOMMIN(z, 255)]; // in range [1, 256]
// SGRPROJ_SGR - A[k] < 2^8 (from above), B[k] < 2^(bit_depth) * n,
// av1_one_by_x[n - 1] = round(2^12 / n)
// => the product here is < 2^(20 + bit_depth) <= 2^32,
// and B[k] is set to a value < 2^(8 + bit depth)
// This holds even with the rounding in av1_one_by_x and in the overall
// result, as long as SGRPROJ_SGR - A[k] is strictly less than 2^8.
B[k] = (int32_t)ROUND_POWER_OF_TWO((uint32_t)(SGRPROJ_SGR - A[k]) *
(uint32_t)B[k] *
(uint32_t)av1_one_by_x[n - 1],
SGRPROJ_RECIP_BITS);
}
}
}
static void selfguided_restoration_fast_internal(
int32_t *dgd, int width, int height, int dgd_stride, int32_t *dst,
int dst_stride, int bit_depth, int sgr_params_idx, int radius_idx) {
const sgr_params_type *const params = &av1_sgr_params[sgr_params_idx];
const int r = params->r[radius_idx];
const int width_ext = width + 2 * SGRPROJ_BORDER_HORZ;
// Adjusting the stride of A and B here appears to avoid bad cache effects,
// leading to a significant speed improvement.
// We also align the stride to a multiple of 16 bytes, for consistency
// with the SIMD version of this function.
int buf_stride = ((width_ext + 3) & ~3) + 16;
int32_t A_[RESTORATION_PROC_UNIT_PELS];
int32_t B_[RESTORATION_PROC_UNIT_PELS];
int32_t *A = A_;
int32_t *B = B_;
int i, j;
calculate_intermediate_result(dgd, width, height, dgd_stride, bit_depth,
sgr_params_idx, radius_idx, 1, A, B);
A += SGRPROJ_BORDER_VERT * buf_stride + SGRPROJ_BORDER_HORZ;
B += SGRPROJ_BORDER_VERT * buf_stride + SGRPROJ_BORDER_HORZ;
// Use the A[] and B[] arrays to calculate the filtered image
(void)r;
assert(r == 2);
for (i = 0; i < height; ++i) {
if (!(i & 1)) { // even row
for (j = 0; j < width; ++j) {
const int k = i * buf_stride + j;
const int l = i * dgd_stride + j;
const int m = i * dst_stride + j;
const int nb = 5;
const int32_t a = (A[k - buf_stride] + A[k + buf_stride]) * 6 +
(A[k - 1 - buf_stride] + A[k - 1 + buf_stride] +
A[k + 1 - buf_stride] + A[k + 1 + buf_stride]) *
5;
const int32_t b = (B[k - buf_stride] + B[k + buf_stride]) * 6 +
(B[k - 1 - buf_stride] + B[k - 1 + buf_stride] +
B[k + 1 - buf_stride] + B[k + 1 + buf_stride]) *
5;
const int32_t v = a * dgd[l] + b;
dst[m] =
ROUND_POWER_OF_TWO(v, SGRPROJ_SGR_BITS + nb - SGRPROJ_RST_BITS);
}
} else { // odd row
for (j = 0; j < width; ++j) {
const int k = i * buf_stride + j;
const int l = i * dgd_stride + j;
const int m = i * dst_stride + j;
const int nb = 4;
const int32_t a = A[k] * 6 + (A[k - 1] + A[k + 1]) * 5;
const int32_t b = B[k] * 6 + (B[k - 1] + B[k + 1]) * 5;
const int32_t v = a * dgd[l] + b;
dst[m] =
ROUND_POWER_OF_TWO(v, SGRPROJ_SGR_BITS + nb - SGRPROJ_RST_BITS);
}
}
}
}
static void selfguided_restoration_internal(int32_t *dgd, int width, int height,
int dgd_stride, int32_t *dst,
int dst_stride, int bit_depth,
int sgr_params_idx,
int radius_idx) {
const int width_ext = width + 2 * SGRPROJ_BORDER_HORZ;
// Adjusting the stride of A and B here appears to avoid bad cache effects,
// leading to a significant speed improvement.
// We also align the stride to a multiple of 16 bytes, for consistency
// with the SIMD version of this function.
int buf_stride = ((width_ext + 3) & ~3) + 16;
int32_t A_[RESTORATION_PROC_UNIT_PELS];
int32_t B_[RESTORATION_PROC_UNIT_PELS];
int32_t *A = A_;
int32_t *B = B_;
int i, j;
calculate_intermediate_result(dgd, width, height, dgd_stride, bit_depth,
sgr_params_idx, radius_idx, 0, A, B);
A += SGRPROJ_BORDER_VERT * buf_stride + SGRPROJ_BORDER_HORZ;
B += SGRPROJ_BORDER_VERT * buf_stride + SGRPROJ_BORDER_HORZ;
// Use the A[] and B[] arrays to calculate the filtered image
for (i = 0; i < height; ++i) {
for (j = 0; j < width; ++j) {
const int k = i * buf_stride + j;
const int l = i * dgd_stride + j;
const int m = i * dst_stride + j;
const int nb = 5;
const int32_t a =
(A[k] + A[k - 1] + A[k + 1] + A[k - buf_stride] + A[k + buf_stride]) *
4 +
(A[k - 1 - buf_stride] + A[k - 1 + buf_stride] +
A[k + 1 - buf_stride] + A[k + 1 + buf_stride]) *
3;
const int32_t b =
(B[k] + B[k - 1] + B[k + 1] + B[k - buf_stride] + B[k + buf_stride]) *
4 +
(B[k - 1 - buf_stride] + B[k - 1 + buf_stride] +
B[k + 1 - buf_stride] + B[k + 1 + buf_stride]) *
3;
const int32_t v = a * dgd[l] + b;
dst[m] = ROUND_POWER_OF_TWO(v, SGRPROJ_SGR_BITS + nb - SGRPROJ_RST_BITS);
}
}
}
int av1_selfguided_restoration_c(const uint16_t *dgd, int width, int height,
int dgd_stride, int32_t *flt0, int32_t *flt1,
int flt_stride, int sgr_params_idx,
int bit_depth) {
int32_t dgd32_[RESTORATION_PROC_UNIT_PELS];
const int dgd32_stride = width + 2 * SGRPROJ_BORDER_HORZ;
int32_t *dgd32 =
dgd32_ + dgd32_stride * SGRPROJ_BORDER_VERT + SGRPROJ_BORDER_HORZ;
for (int i = -SGRPROJ_BORDER_VERT; i < height + SGRPROJ_BORDER_VERT; ++i) {
for (int j = -SGRPROJ_BORDER_HORZ; j < width + SGRPROJ_BORDER_HORZ; ++j) {
dgd32[i * dgd32_stride + j] = dgd[i * dgd_stride + j];
}
}
const sgr_params_type *const params = &av1_sgr_params[sgr_params_idx];
// If params->r == 0 we skip the corresponding filter. We only allow one of
// the radii to be 0, as having both equal to 0 would be equivalent to
// skipping SGR entirely.
assert(!(params->r[0] == 0 && params->r[1] == 0));
if (params->r[0] > 0)
selfguided_restoration_fast_internal(dgd32, width, height, dgd32_stride,
flt0, flt_stride, bit_depth,
sgr_params_idx, 0);
if (params->r[1] > 0)
selfguided_restoration_internal(dgd32, width, height, dgd32_stride, flt1,
flt_stride, bit_depth, sgr_params_idx, 1);
return 0;
}
void av1_apply_selfguided_restoration_c(const uint16_t *dat, int width,
int height, int stride, int eps,
const int *xqd, uint16_t *dst,
int dst_stride, int32_t *tmpbuf,
int bit_depth) {
int32_t *flt0 = tmpbuf;
int32_t *flt1 = flt0 + RESTORATION_UNITPELS_MAX;
assert(width * height <= RESTORATION_UNITPELS_MAX);
const int ret = av1_selfguided_restoration_c(dat, width, height, stride, flt0,
flt1, width, eps, bit_depth);
(void)ret;
assert(!ret);
const sgr_params_type *const params = &av1_sgr_params[eps];
int xq[2];
av1_decode_xq(xqd, xq, params);
for (int i = 0; i < height; ++i) {
for (int j = 0; j < width; ++j) {
const int k = i * width + j;
uint16_t *dstij = dst + i * dst_stride + j;
const uint16_t *datij = dat + i * stride + j;
const uint16_t pre_u = *datij;
const int32_t u = (int32_t)pre_u << SGRPROJ_RST_BITS;
int32_t v = u << SGRPROJ_PRJ_BITS;
// If params->r == 0 then we skipped the filtering in
// av1_selfguided_restoration_c, i.e. flt[k] == u
if (params->r[0] > 0) v += xq[0] * (flt0[k] - u);
if (params->r[1] > 0) v += xq[1] * (flt1[k] - u);
const int16_t w =
(int16_t)ROUND_POWER_OF_TWO(v, SGRPROJ_PRJ_BITS + SGRPROJ_RST_BITS);
const uint16_t out = clip_pixel_highbd(w, bit_depth);
*dstij = out;
}
}
}
#if CONFIG_PC_WIENER
// This routine should remain in sync with av1_convert_qindex_to_q.
// The actual qstep used to quantize coefficients should be:
// get_qstep() / (1 << shift)
static int get_qstep(int base_qindex, int bit_depth, int *shift) {
int base_shift = QUANT_TABLE_BITS;
switch (bit_depth) {
case AOM_BITS_8:
*shift = 2 + base_shift;
return av1_ac_quant_QTX(base_qindex, 0, bit_depth);
case AOM_BITS_10:
*shift = 4 + base_shift;
return av1_ac_quant_QTX(base_qindex, 0, bit_depth);
case AOM_BITS_12:
*shift = 6 + base_shift;
return av1_ac_quant_QTX(base_qindex, 0, bit_depth);
default:
assert(0 && "bit_depth should be AOM_BITS_8, AOM_BITS_10 or AOM_BITS_12");
return -1;
}
}
static void rotate_feature_line_buffers(int feature_len,
PcwienerBuffers *buffers) {
assert(feature_len <= MAX_FEATURE_LENGTH);
for (int feature = 0; feature < NUM_PC_WIENER_FEATURES; ++feature) {
const int row_begin = feature * feature_len;
int16_t *buffer_0 = buffers->feature_line_buffers[row_begin];
for (int row = row_begin; row < row_begin + feature_len - 1; ++row) {
buffers->feature_line_buffers[row] =
buffers->feature_line_buffers[row + 1];
}
buffers->feature_line_buffers[row_begin + feature_len - 1] = buffer_0;
}
}
static void allocate_pcwiener_line_buffers(int procunit_width,
PcwienerBuffers *buffers) {
buffers->buffer_width = procunit_width + MAX_FEATURE_LENGTH - 1;
for (int j = 0; j < NUM_FEATURE_LINE_BUFFERS; ++j) {
// This should be done only once.
buffers->feature_line_buffers[j] = (int16_t *)(aom_malloc(
buffers->buffer_width * sizeof(*buffers->feature_line_buffers[j])));
}
for (int j = 0; j < NUM_PC_WIENER_FEATURES; ++j) {
// This should be done only once.
buffers->feature_sum_buffers[j] = (int *)(aom_malloc(
buffers->buffer_width * sizeof(*buffers->feature_sum_buffers[j])));
}
buffers->tskip_sum_buffer = (int8_t *)(aom_malloc(
buffers->buffer_width * sizeof(*buffers->tskip_sum_buffer)));
}
static void free_pcwiener_line_buffers(PcwienerBuffers *buffers) {
for (int j = 0; j < NUM_FEATURE_LINE_BUFFERS; ++j) {
aom_free(buffers->feature_line_buffers[j]);
buffers->feature_line_buffers[j] = NULL;
}
for (int j = 0; j < NUM_PC_WIENER_FEATURES; ++j) {
aom_free(buffers->feature_sum_buffers[j]);
buffers->feature_sum_buffers[j] = NULL;
}
aom_free(buffers->tskip_sum_buffer);
buffers->tskip_sum_buffer = NULL;
buffers->buffer_width = 0;
}
static void clear_line_buffers(PcwienerBuffers *buffers) {
for (int k = 0; k < NUM_FEATURE_LINE_BUFFERS; ++k)
memset(buffers->feature_line_buffers[k], 0,
sizeof(*buffers->feature_line_buffers[k]) * buffers->buffer_width);
for (int k = 0; k < NUM_PC_WIENER_FEATURES; ++k)
memset(buffers->feature_sum_buffers[k], 0,
sizeof(*buffers->feature_sum_buffers[k]) * buffers->buffer_width);
memset(buffers->tskip_sum_buffer, 0,
sizeof(*buffers->tskip_sum_buffer) * buffers->buffer_width);
}
// Does the initialization of feature accumulator for column 0.
static void init_directional_feature_accumulator(int col, int feature_lead,
int feature_lag,
PcwienerBuffers *buffers) {
assert(col == 0);
for (int col_offset = -feature_lead; col_offset < feature_lag; ++col_offset) {
const int col_base = col + col_offset + feature_lead;
for (int k = 0; k < NUM_PC_WIENER_FEATURES; k++) {
assert(col_base >= 0);
buffers->directional_feature_accumulator[k][0] +=
buffers->feature_sum_buffers[k][col_base];
}
}
}
static void init_tskip_feature_accumulator(int col, int tskip_lead,
int tskip_lag,
PcwienerBuffers *buffers) {
assert(col == 0);
for (int col_offset = -tskip_lead; col_offset < tskip_lag; ++col_offset) {
// Add tskip_lead to ensure buffer access is from >=0.
const int col_base = col + col_offset + tskip_lead;
buffers->tskip_feature_accumulator[0] +=
buffers->tskip_sum_buffer[col_base];
}
}
// Initializes the accumulators.
static void initialize_feature_accumulators(int feature_lead, int feature_lag,
int tskip_lead, int tskip_lag,
PcwienerBuffers *buffers) {
av1_zero(buffers->directional_feature_accumulator);
av1_zero(buffers->tskip_feature_accumulator);
// Initialize accumulators on the leftmost portion of the line.
init_directional_feature_accumulator(0, feature_lead, feature_lag, buffers);
init_tskip_feature_accumulator(0, tskip_lead, tskip_lag, buffers);
}
// Updates the accumulators.
static void update_accumulators(int feature_lead, int feature_lag,
int tskip_lead, int tskip_lag, int width,
PcwienerBuffers *buffers) {
av1_fill_directional_feature_accumulators(
buffers->directional_feature_accumulator, buffers->feature_sum_buffers,
width, feature_lag, feature_lead, feature_lag);
av1_fill_tskip_feature_accumulator(buffers->tskip_feature_accumulator,
buffers->tskip_sum_buffer, width,
tskip_lag, tskip_lead, tskip_lag);
}
// Calculates the features needed for get_pcwiener_index.
static void calculate_features(int32_t *feature_vector, int bit_depth, int col,
PcwienerBuffers *buffers) {
// Index derivation to retrieve the stored accumulated value.
const int accum_index = col / PC_WIENER_BLOCK_SIZE;
for (int f = 0; f < NUM_PC_WIENER_FEATURES; ++f) {
feature_vector[f] =
buffers->directional_feature_accumulator[f][accum_index] *
buffers->feature_normalizers[f];
}
const int bit_depth_shift = bit_depth - 8;
if (bit_depth_shift) {
for (int f = 0; f < NUM_PC_WIENER_FEATURES; ++f)
feature_vector[f] =
ROUND_POWER_OF_TWO_SIGNED(feature_vector[f], bit_depth_shift);
}
const int tskip_index = NUM_PC_WIENER_FEATURES;
feature_vector[tskip_index] =
buffers->tskip_feature_accumulator[accum_index] *
buffers->feature_normalizers[tskip_index];
}
// Calculates the look-up-table of thresholds used in Wiener classification. The
// classification uses an adjustment threshold value based on qindex and the
// tskip feature. Since the tskip feature takes on a fixed set of values (0-255)
// the thresholds can be precomputed rather than performing an online
// calculation over each classified block. See CWG-C016 contribution for
// details.
static void fill_qval_given_tskip_lut(int base_qindex, int bit_depth,
PcwienerBuffers *buffers) {
int qstep_shift = 0;
int qstep = get_qstep(base_qindex, bit_depth, &qstep_shift);
qstep_shift += 8; // normalization in tf
const int bit_depth_shift = bit_depth - 8;
if (bit_depth_shift) {
qstep = ROUND_POWER_OF_TWO_SIGNED(qstep, bit_depth_shift);
qstep_shift -= bit_depth_shift;
}
// actual * 256
const int tskip_shift = 8;
const int diff_shift = qstep_shift - tskip_shift;
assert(diff_shift >= 0);
for (int tskip = 0; tskip < 255; ++tskip) {
const int tskip_shifted = tskip * (1 << diff_shift);
const int tskip_qstep_prod =
ROUND_POWER_OF_TWO_SIGNED(tskip * qstep, tskip_shift);
const int total_shift = qstep_shift;
// Arithmetic ideas: tskip can be divided by 2, qstep can be scaled down.
for (int i = 0; i < NUM_PC_WIENER_FEATURES; ++i) {
int32_t qval = (mode_weights[i][0] * tskip_shifted) +
(mode_weights[i][1] * qstep) +
(mode_weights[i][2] * tskip_qstep_prod);
qval = ROUND_POWER_OF_TWO_SIGNED(qval, total_shift);
qval += mode_offsets[i]; // actual * (1 << PC_WIENER_PREC_FEATURE)
buffers->qval_given_tskip_lut[tskip][i] = 255 * qval;
}
}
}
static void set_feature_normalizers(PcwienerBuffers *buffers) {
for (int i = 0; i < NUM_PC_WIENER_FEATURES; ++i)
buffers->feature_normalizers[i] = feature_normalizers_luma[i];
buffers->feature_normalizers[NUM_PC_WIENER_FEATURES] = tskip_normalizer;
}
static uint8_t get_pcwiener_index(int bit_depth, int32_t *multiplier, int col,
PcwienerBuffers *buffers) {
int32_t feature_vector[NUM_PC_WIENER_FEATURES + 1]; // 255 x actual
// Fill the feature vector.
calculate_features(feature_vector, bit_depth, col, buffers);
// actual * 256
const int tskip_index = NUM_PC_WIENER_FEATURES;
const int tskip = feature_vector[tskip_index];
assert(tskip < 256);
for (int i = 0; i < NUM_PC_WIENER_FEATURES; ++i)
assert(feature_vector[i] >= 0);
for (int i = 0; i < NUM_PC_WIENER_FEATURES; ++i) {
int32_t qval = ROUND_POWER_OF_TWO_SIGNED(
feature_vector[i] + buffers->qval_given_tskip_lut[tskip][i],
PC_WIENER_PREC_FEATURE);
// qval range is [0, 1] -> [0, 255]
feature_vector[i] = clip_pixel(qval) >> pc_wiener_threshold_shift;
}
int lut_input = 0;
for (int i = 0; i < NUM_PC_WIENER_FEATURES; ++i) {
lut_input += pc_wiener_thresholds[i] * feature_vector[i];
}
*multiplier = 1 << PC_WIENER_PREC_FEATURE;
assert(lut_input == AOMMAX(AOMMIN(lut_input, PC_WIENER_LUT_SIZE - 1), 0));
const uint8_t class_index = pc_wiener_lut_to_class_index[lut_input];
assert(class_index ==
AOMMAX(AOMMIN(class_index, NUM_PC_WIENER_LUT_CLASSES - 1), 0));
return class_index;
}
void apply_pc_wiener_highbd(
const uint16_t *dgd, int width, int height, int stride, uint16_t *dst,
int dst_stride, const uint8_t *tskip, int tskip_stride,
uint8_t *wiener_class_id, int wiener_class_id_stride, bool is_uv,
int bit_depth, bool classify_only,
const int16_t (*pcwiener_filters_luma)[NUM_PC_WIENER_TAPS_LUMA],
const uint8_t *filter_selector, PcwienerBuffers *buffers) {
(void)is_uv;
const bool skip_filtering = classify_only;
assert(!is_uv);
const int pc_filter_num_taps =
sizeof(pcwiener_tap_config_luma) / sizeof(pcwiener_tap_config_luma[0]);
const NonsepFilterConfig pcfilter_config = { PC_WIENER_PREC_FILTER,
pc_filter_num_taps,
0,
pcwiener_tap_config_luma,
NULL,
0,
0 };
const NonsepFilterConfig *filter_config = &pcfilter_config;
#if !USE_CONVOLVE_SYM
const int singleton_tap_index =
filter_config->config[filter_config->num_pixels - 1][NONSEP_BUF_POS];
const int num_sym_taps = (2 * NUM_PC_WIENER_TAPS_LUMA - 1) / 2;
assert(num_sym_taps == (filter_config->num_pixels - 1) / 2);
assert(num_sym_taps <= 24);
int16_t compute_buffer[24];
int pixel_offset_diffs[24];
int filter_pos[24];
for (int k = 0; k < num_sym_taps; ++k) {
const int r = filter_config->config[2 * k][NONSEP_ROW_ID];
const int c = filter_config->config[2 * k][NONSEP_COL_ID];
const int diff = r * stride + c;
pixel_offset_diffs[k] = diff;
filter_pos[k] = filter_config->config[2 * k][NONSEP_BUF_POS];
}
int16_t max_pixel_value = 255;
switch (bit_depth) {
case 10: max_pixel_value = 1023; break;
case 12: max_pixel_value = 4095; break;
}
#endif // !USE_CONVOLVE_SYM
assert(filter_config->strict_bounds == false);
const bool tskip_strict = true;
const int feature_lead = PC_WIENER_FEATURE_LEAD_LUMA;
const int feature_lag = PC_WIENER_FEATURE_LAG_LUMA;
const int feature_length = feature_lead + feature_lag + 1;
const int tskip_lead = PC_WIENER_TSKIP_LEAD_LUMA;
const int tskip_lag = PC_WIENER_TSKIP_LAG_LUMA;
const int tskip_length = tskip_lead + tskip_lag + 1;
// Class-id is allocated over blocks of size (1 << MI_SIZE_LOG2).
assert((1 << MI_SIZE_LOG2) == PC_WIENER_BLOCK_SIZE);
set_feature_normalizers(buffers);
clear_line_buffers(buffers);
// Currently, code support when 'strict_bounds' (i.e. dir_strict) is true is
// yet to be added in 'fill_directional_feature_buffers_highbd()' function.
// Hence, not prefered to pass this variable as an argument to this function
// to avoid build failure.
for (int row = 0; row < feature_length - 1; ++row) {
fill_directional_feature_buffers_highbd(
buffers->feature_sum_buffers, buffers->feature_line_buffers,
row - feature_lead, row, dgd, stride, width, feature_lead, feature_lag);
}
for (int row = 0; row < tskip_length - 1; ++row) {
av1_fill_tskip_sum_buffer(row - tskip_lead, tskip, tskip_stride,
buffers->tskip_sum_buffer, width, height,
tskip_lead, tskip_lag, tskip_strict);
}
for (int i = 0; i < height; ++i) {
// Ensure window is three pixels or a potential issue with odd-sized frames.
const int row_to_process = AOMMIN(i + feature_lag, height + 3 - 2);
fill_directional_feature_buffers_highbd(
buffers->feature_sum_buffers, buffers->feature_line_buffers,
row_to_process, feature_length - 1, dgd, stride, width, feature_lead,
feature_lag);
av1_fill_tskip_sum_buffer(i + tskip_lag, tskip, tskip_stride,
buffers->tskip_sum_buffer, width, height,
tskip_lead, tskip_lag, tskip_strict);
#if PC_WIENER_BLOCK_SIZE > 1
bool skip_row_compute =
i % PC_WIENER_BLOCK_SIZE != PC_WIENER_BLOCK_ROW_OFFSET;
#else
bool skip_row_compute = false;
#endif // PC_WIENER_BLOCK_SIZE > 1
if (!skip_row_compute) {
// Initialize accumulators on the leftmost portion of the line.
initialize_feature_accumulators(feature_lead, feature_lag, tskip_lead,
tskip_lag, buffers);
// Fill accumulators for processing width.
update_accumulators(feature_lead, feature_lag, tskip_lead, tskip_lag,
width, buffers);
}
for (int j = 0; j < width; ++j) {
#if PC_WIENER_BLOCK_SIZE > 1
if (skip_row_compute ||
j % PC_WIENER_BLOCK_SIZE != PC_WIENER_BLOCK_COL_OFFSET)
continue;
#endif // PC_WIENER_BLOCK_SIZE > 1
int32_t multiplier = 0;
const uint8_t class_index =
get_pcwiener_index(bit_depth, &multiplier, j, buffers);
// Store classification.
wiener_class_id[(i >> MI_SIZE_LOG2) * wiener_class_id_stride +
(j >> MI_SIZE_LOG2)] = class_index;
if (skip_filtering) {
continue;
}
const uint8_t filter_index = filter_selector[class_index];
const int16_t *filter = pcwiener_filters_luma[filter_index];
#if PC_WIENER_BLOCK_SIZE > 1
const int block_row_begin = i - PC_WIENER_BLOCK_ROW_OFFSET;
int block_row_end =
AOMMIN(block_row_begin + PC_WIENER_BLOCK_SIZE, height);
if (i + PC_WIENER_BLOCK_SIZE >= height) block_row_end = height;
const int block_col_begin = j - PC_WIENER_BLOCK_COL_OFFSET;
int block_col_end = AOMMIN(block_col_begin + PC_WIENER_BLOCK_SIZE, width);
// Extend block if the next time we will calculate classification will be
// out of bounds.
if (j + PC_WIENER_BLOCK_SIZE >= width) block_col_end = width;
#else
const int block_row_begin = i;
const int block_row_end = i + 1;
const int block_col_begin = j;
const int block_col_end = j + 1;
#endif // PC_WIENER_BLOCK_SIZE > 1
#if USE_CONVOLVE_SYM
av1_convolve_symmetric_highbd(
dgd, stride, filter_config, filter, dst, dst_stride, bit_depth,
block_row_begin, block_row_end, block_col_begin, block_col_end);
#else
const int16_t singleton_tap =
filter[singleton_tap_index] + (1 << filter_config->prec_bits);
for (int r = block_row_begin; r < block_row_end; ++r) {
for (int c = block_col_begin; c < block_col_end; ++c) {
int dgd_id = r * stride + c;
// Two loops for a potential data cache miss.
for (int k = 0; k < num_sym_taps; ++k) {
const int diff = pixel_offset_diffs[k];
const int16_t tmp_sum = dgd[dgd_id - diff];
compute_buffer[k] = tmp_sum;
}
for (int k = 0; k < num_sym_taps; ++k) {
const int diff = pixel_offset_diffs[k];
const int16_t tmp_sum = dgd[dgd_id + diff];
compute_buffer[k] += tmp_sum;
}
// Handle singleton tap.
int32_t tmp = singleton_tap * dgd[dgd_id];
for (int k = 0; k < num_sym_taps; ++k) {
const int pos = filter_pos[k];
tmp += filter[pos] * compute_buffer[k];
}
tmp = ROUND_POWER_OF_TWO_SIGNED(tmp, filter_config->prec_bits);
int dst_id = r * dst_stride + c;
dst[dst_id] = (tmp > max_pixel_value) ? max_pixel_value
: (tmp < 0) ? 0
: tmp;
}
}
#endif // USE_CONVOLVE_SYM
}
rotate_feature_line_buffers(feature_length, buffers);
}
}
static void setup_qval_tskip_lut(int qindex, int bit_depth,
PcwienerBuffers *buffers) {
if (qindex == buffers->prev_qindex && bit_depth == buffers->prev_bit_depth) {
return;
}
fill_qval_given_tskip_lut(qindex, bit_depth, buffers);
buffers->prev_qindex = qindex;
buffers->prev_bit_depth = bit_depth;
}
// Imeplements the LR stripe function akin to wiener_filter_stripe_highbd,
// sgrproj_filter_stripe_highbd, etc., that accomplishes processing of RUs
// labeled RESTORE_PC_WIENER.
static void pc_wiener_stripe_highbd(const RestorationUnitInfo *rui,
int stripe_width, int stripe_height,
int procunit_width, const uint16_t *src,
int src_stride, uint16_t *dst,
int dst_stride, int32_t *tmpbuf,
int bit_depth) {
if (rui->plane != AOM_PLANE_Y) {
assert(0);
return;
}
(void)tmpbuf;
(void)bit_depth;
const int set_index =
get_filter_set_index(rui->base_qindex + rui->qindex_offset);
const int16_t(*pcwiener_filters_luma)[NUM_PC_WIENER_TAPS_LUMA] =
get_filter_set(set_index);
const uint8_t *filter_selector = get_filter_selector(set_index);
assert(rui->pcwiener_buffers->buffer_width > 0);
setup_qval_tskip_lut(rui->base_qindex + rui->qindex_offset, bit_depth,
rui->pcwiener_buffers);
for (int j = 0; j < stripe_width; j += procunit_width) {
int w = AOMMIN(procunit_width, stripe_width - j);
// The function update_accumulator() is used to compute the accumulated
// result of tx_skip and feature direction filtering output at
// PC_WIENER_BLOCk_SIZE samples. The SIMD for the same is implemented with
// an assumption of PC_WIENER_BLOCK_SIZE as 4x4 and procunit_width as 32
// or 64.
apply_pc_wiener_highbd(
src + j, w, stripe_height, src_stride, dst + j, dst_stride,
rui->tskip + (j >> MI_SIZE_LOG2), rui->tskip_stride,
rui->wiener_class_id + (j >> MI_SIZE_LOG2), rui->wiener_class_id_stride,
rui->plane != AOM_PLANE_Y, bit_depth, false, pcwiener_filters_luma,
filter_selector, rui->pcwiener_buffers);
}
}
#endif // CONFIG_PC_WIENER
#if CONFIG_WIENER_NONSEP
// Enables running of wienerns filters without the subtract-center option.
#define ADD_CENTER_TAP_TO_WIENERNS 1
#define ADD_CENTER_TAP_TO_WIENERNS_CHROMA 1
#define ADD_CENTER_TAP_TO_WIENERNS_CROSS 1
#if ADD_CENTER_TAP_TO_WIENERNS
// Adjust wienerns config and filters to use the non-subtract-center path.
static void adjust_filter_and_config(const NonsepFilterConfig *nsfilter_config,
const WienerNonsepInfo *wienerns_info,
int is_uv,
NonsepFilterConfig *adjusted_config,
WienerNonsepInfo *adjusted_info) {
*adjusted_config = *nsfilter_config;
*adjusted_info = *wienerns_info;
// Add the center tap.
adjusted_config->num_pixels += 1;
if (adjusted_config->num_pixels2) {
adjusted_config->num_pixels2 += 1;
}
adjusted_config->subtract_center = 0;
// Non-subtract-center SIMD has hard-coded pcwiener_tap_config_luma for luma.
adjusted_config->config =
is_uv ? wienerns_wout_subtract_center_config_uv_from_uv
: pcwiener_tap_config_luma;
adjusted_config->config2 = NULL;
// Handle luma -> luma or chroma -> chroma case.
// Add a center tap at the end of the filter that is the minus the sum of the
// taps.
const int num_sym_taps = nsfilter_config->num_pixels / 2;
const int center_tap_index = num_sym_taps;
const int num_classes = wienerns_info->num_classes;
for (int wiener_class_id = 0; wiener_class_id < num_classes;
++wiener_class_id) {
int16_t *adjusted_filter = nsfilter_taps(adjusted_info, wiener_class_id);
const int16_t *orig_filter =
const_nsfilter_taps(wienerns_info, wiener_class_id);
int sum = 0;
for (int i = 0; i < num_sym_taps; ++i) {
sum += orig_filter[i];
if (!is_uv) {
// Non-subtract center SIMD code has hard-coded a config. Map filters to
// that config.
const int filter_pos_row = nsfilter_config->config[2 * i][0];
const int filter_pos_col = nsfilter_config->config[2 * i][1];
int found_index = -1;
for (int j = 0; j < 2 * num_sym_taps; ++j) {
if (adjusted_config->config[j][0] == filter_pos_row &&
adjusted_config->config[j][1] == filter_pos_col) {
found_index = j;
break;
}
}
assert(found_index != -1);
adjusted_filter[adjusted_config->config[found_index][2]] =
orig_filter[i];
}
}
adjusted_filter[center_tap_index] = -2 * sum;
}
#if CONFIG_WIENER_NONSEP_CROSS_FILT
if (is_uv) {
adjusted_config->config2 = wienerns_wout_subtract_center_config_uv_from_y;
const int num_sym_taps_dual = nsfilter_config->num_pixels2 / 2;
const int begin_idx = num_sym_taps;
const int end_idx = begin_idx + num_sym_taps_dual;
const int center_tap_index_dual = end_idx + 1;
// luma -> chroma part of the dual filter. This case needs a shift of the
// filter since we added a tap to the chroma -> chroma part above.
for (int wiener_class_id = 0; wiener_class_id < num_classes;
++wiener_class_id) {
const int16_t *dual_filter =
const_nsfilter_taps(wienerns_info, wiener_class_id);
int16_t *adjusted_filter = nsfilter_taps(adjusted_info, wiener_class_id);
int sum = 0;
for (int i = begin_idx; i < end_idx; ++i) {
sum += dual_filter[i];
// Shift the filter by one to account for the center tap above.
adjusted_filter[i + 1] = dual_filter[i];
}
// Add the center tap at the end.
adjusted_filter[center_tap_index_dual] = -2 * sum;
}
}
#endif
}
#endif // ADD_CENTER_TAP_TO_WIENERNS
void apply_wienerns_class_id_highbd(const uint16_t *dgd, int width, int height,
int stride,
const WienerNonsepInfo *wienerns_info,
const NonsepFilterConfig *nsfilter_config,
uint16_t *dst, int dst_stride, int plane,
const uint16_t *luma, int luma_stride,
int bit_depth) {
(void)luma;
(void)luma_stride;
(void)plane;
#if CONFIG_WIENER_NONSEP_CROSS_FILT
int is_uv = (plane != AOM_PLANE_Y);
if (is_uv && nsfilter_config->num_pixels2 != 0) {
assert(wienerns_info->num_classes == 1);
const int16_t *filter = const_nsfilter_taps(wienerns_info, 0);
const int block_size = 4;
for (int r = 0; r < height; r += block_size) {
const int h = AOMMIN(block_size, height - r);
const uint16_t *dgd_row = dgd + r * stride;
const uint16_t *luma_row = luma + r * luma_stride;
uint16_t *dst_row = dst + r * dst_stride;
for (int c = 0; c < width; c += block_size) {
const int w = AOMMIN(block_size, width - c);
av1_convolve_nonsep_dual_highbd(dgd_row + c, w, h, stride, luma_row + c,
luma_stride, nsfilter_config, filter,
dst_row + c, dst_stride, bit_depth);
}
}
return;
}
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
const int block_size = 4;
for (int r = 0; r < height; r += block_size) {
const int h = AOMMIN(block_size, height - r);
const uint16_t *dgd_row = dgd + r * stride;
uint16_t *dst_row = dst + r * dst_stride;
for (int c = 0; c < width; c += block_size) {
const int w = AOMMIN(block_size, width - c);
int sub_class_id = 0;
const int16_t *block_filter =
const_nsfilter_taps(wienerns_info, sub_class_id);
av1_convolve_nonsep_highbd(dgd_row + c, w, h, stride, nsfilter_config,
block_filter, dst_row + c, dst_stride,
bit_depth);
}
}
return;
}
static void wiener_nsfilter_stripe_highbd(const RestorationUnitInfo *rui,
int stripe_width, int stripe_height,
int procunit_width,
const uint16_t *src, int src_stride,
uint16_t *dst, int dst_stride,
int32_t *tmpbuf, int bit_depth) {
(void)tmpbuf;
(void)bit_depth;
assert(rui->wienerns_info.num_classes == 1);
int is_uv = rui->plane != AOM_PLANE_Y;
const NonsepFilterConfig *orig_config =
get_wienerns_config(rui->base_qindex, is_uv);
#if ADD_CENTER_TAP_TO_WIENERNS
NonsepFilterConfig adjusted_config;
WienerNonsepInfo adjusted_info;
adjust_filter_and_config(orig_config, &rui->wienerns_info, is_uv,
&adjusted_config, &adjusted_info);
const NonsepFilterConfig *nsfilter_config = &adjusted_config;
const WienerNonsepInfo *nsfilter_info = &adjusted_info;
#if CONFIG_WIENER_NONSEP_CROSS_FILT
if (is_uv && !ADD_CENTER_TAP_TO_WIENERNS_CROSS) {
nsfilter_config = orig_config;
nsfilter_info = &rui->wienerns_info;
}
#else
if (is_uv && !ADD_CENTER_TAP_TO_WIENERNS_CHROMA) {
nsfilter_config = orig_config;
nsfilter_info = &rui->wienerns_info;
}
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
#else
const NonsepFilterConfig *nsfilter_config = orig_config;
const WienerNonsepInfo *nsfilter_info = &rui->wienerns_info;
#endif // ADD_CENTER_TAP_TO_WIENERNS
for (int j = 0; j < stripe_width; j += procunit_width) {
int w = AOMMIN(procunit_width, stripe_width - j);
apply_wienerns_class_id_highbd(
src + j, w, stripe_height, src_stride, nsfilter_info, nsfilter_config,
dst + j, dst_stride, rui->plane,
#if CONFIG_WIENER_NONSEP_CROSS_FILT
rui->luma ? rui->luma + j : NULL, rui->luma_stride,
#else
NULL, -1,
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
bit_depth);
}
}
#if CONFIG_WIENER_NONSEP_CROSS_FILT
uint16_t *wienerns_copy_luma_highbd(const uint16_t *dgd, int height_y,
int width_y, int in_stride,
uint16_t **luma_hbd, int height_uv,
int width_uv, int border, int out_stride,
int bd) {
(void)bd;
uint16_t *aug_luma = (uint16_t *)malloc(
sizeof(uint16_t) * (width_uv + 2 * border) * (height_uv + 2 * border));
memset(
aug_luma, 0,
sizeof(*aug_luma) * (width_uv + 2 * border) * (height_uv + 2 * border));
uint16_t *luma[1];
*luma = aug_luma + border * out_stride + border;
*luma_hbd = *luma;
#if WIENERNS_CROSS_FILT_LUMA_TYPE == 0
const int ss_x = (((width_y + 1) >> 1) == width_uv);
const int ss_y = (((height_y + 1) >> 1) == height_uv);
for (int r = 0; r < height_uv; ++r) {
for (int c = 0; c < width_uv; ++c) {
(*luma)[r * out_stride + c] =
dgd[(1 + ss_y) * r * in_stride + (1 + ss_x) * c];
}
}
#elif WIENERNS_CROSS_FILT_LUMA_TYPE == 1
const int ss_x = (((width_y + 1) >> 1) == width_uv);
const int ss_y = (((height_y + 1) >> 1) == height_uv);
if (ss_x && ss_y) { // 420
int r;
for (r = 0; r < height_y / 2; ++r) {
int c;
for (c = 0; c < width_y / 2; ++c) {
(*luma)[r * out_stride + c] =
(dgd[2 * r * in_stride + 2 * c] +
dgd[2 * r * in_stride + 2 * c + 1] +
dgd[(2 * r + 1) * in_stride + 2 * c] +
dgd[(2 * r + 1) * in_stride + 2 * c + 1] + 2) >>
2;
}
// handle odd width_y
for (; c < width_uv; ++c) {
(*luma)[r * out_stride + c] =
(dgd[2 * r * in_stride + 2 * c] +
dgd[(2 * r + 1) * in_stride + 2 * c] + 1) >>
1;
}
}
// handle odd height_y
for (; r < height_uv; ++r) {
int c;
for (c = 0; c < width_y / 2; ++c) {
(*luma)[r * out_stride + c] =
(dgd[2 * r * in_stride + 2 * c] +
dgd[2 * r * in_stride + 2 * c + 1] + 1) >>
1;
}
// handle odd height_y and width_y
for (; c < width_uv; ++c) {
(*luma)[r * out_stride + c] = dgd[2 * r * in_stride + 2 * c];
}
}
} else if (ss_x && !ss_y) { // 422
for (int r = 0; r < height_uv; ++r) {
int c;
for (c = 0; c < width_y / 2; ++c) {
(*luma)[r * out_stride + c] =
(dgd[r * in_stride + 2 * c] + dgd[r * in_stride + 2 * c + 1] + 1) >>
1;
}
// handle odd width_y
for (; c < width_uv; ++c) {
(*luma)[r * out_stride + c] = dgd[r * in_stride + 2 * c];
}
}
} else if (!ss_x && !ss_y) { // 444
for (int r = 0; r < height_uv; ++r) {
for (int c = 0; c < width_uv; ++c) {
(*luma)[r * out_stride + c] = dgd[r * in_stride + c];
}
}
} else {
assert(0 && "Invalid dimensions");
}
#else
av1_highbd_resize_plane(dgd, height_y, width_y, in_stride, *luma, height_uv,
width_uv, out_stride, bd);
#endif // WIENERNS_CROSS_FILT_LUMA_TYPE
// extend border by replication
for (int r = 0; r < height_uv; ++r) {
for (int c = -border; c < 0; ++c)
(*luma)[r * out_stride + c] = (*luma)[r * out_stride];
for (int c = 0; c < border; ++c)
(*luma)[r * out_stride + width_uv + c] =
(*luma)[r * out_stride + width_uv - 1];
}
for (int r = -border; r < 0; ++r) {
memcpy(&(*luma)[r * out_stride - border], &(*luma)[-border],
(width_uv + 2 * border) * sizeof((*luma)[0]));
}
for (int r = 0; r < border; ++r)
memcpy(&(*luma)[(height_uv + r) * out_stride - border],
&(*luma)[(height_uv - 1) * out_stride - border],
(width_uv + 2 * border) * sizeof((*luma)[0]));
return aug_luma;
}
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
#endif // CONFIG_WIENER_NONSEP
static void wiener_filter_stripe_highbd(const RestorationUnitInfo *rui,
int stripe_width, int stripe_height,
int procunit_width, const uint16_t *src,
int src_stride, uint16_t *dst,
int dst_stride, int32_t *tmpbuf,
int bit_depth) {
(void)tmpbuf;
const ConvolveParams conv_params = get_conv_params_wiener(bit_depth);
for (int j = 0; j < stripe_width; j += procunit_width) {
int w = AOMMIN(procunit_width, (stripe_width - j + 15) & ~15);
const uint16_t *src_p = src + j;
uint16_t *dst_p = dst + j;
av1_highbd_wiener_convolve_add_src(src_p, src_stride, dst_p, dst_stride,
rui->wiener_info.hfilter, 16,
rui->wiener_info.vfilter, 16, w,
stripe_height, &conv_params, bit_depth);
}
}
static void sgrproj_filter_stripe_highbd(const RestorationUnitInfo *rui,
int stripe_width, int stripe_height,
int procunit_width,
const uint16_t *src, int src_stride,
uint16_t *dst, int dst_stride,
int32_t *tmpbuf, int bit_depth) {
for (int j = 0; j < stripe_width; j += procunit_width) {
int w = AOMMIN(procunit_width, stripe_width - j);
av1_apply_selfguided_restoration(
src + j, w, stripe_height, src_stride, rui->sgrproj_info.ep,
rui->sgrproj_info.xqd, dst + j, dst_stride, tmpbuf, bit_depth);
}
}
typedef void (*stripe_filter_fun)(const RestorationUnitInfo *rui,
int stripe_width, int stripe_height,
int procunit_width, const uint16_t *src,
int src_stride, uint16_t *dst, int dst_stride,
int32_t *tmpbuf, int bit_depth);
#if CONFIG_WIENER_NONSEP && CONFIG_PC_WIENER
#define NUM_STRIPE_FILTERS 4
static const stripe_filter_fun stripe_filters[NUM_STRIPE_FILTERS] = {
wiener_filter_stripe_highbd, sgrproj_filter_stripe_highbd,
pc_wiener_stripe_highbd, wiener_nsfilter_stripe_highbd
};
#elif CONFIG_WIENER_NONSEP
#define NUM_STRIPE_FILTERS 3
static const stripe_filter_fun stripe_filters[NUM_STRIPE_FILTERS] = {
wiener_filter_stripe_highbd, sgrproj_filter_stripe_highbd,
wiener_nsfilter_stripe_highbd
};
#elif CONFIG_PC_WIENER
#define NUM_STRIPE_FILTERS 3
static const stripe_filter_fun stripe_filters[NUM_STRIPE_FILTERS] = {
wiener_filter_stripe_highbd,
sgrproj_filter_stripe_highbd,
pc_wiener_stripe_highbd,
};
#else
#define NUM_STRIPE_FILTERS 2
static const stripe_filter_fun stripe_filters[NUM_STRIPE_FILTERS] = {
wiener_filter_stripe_highbd, sgrproj_filter_stripe_highbd
};
#endif // CONFIG_WIENER_NONSEP && CONFIG_PC_WIENER
// Filter one restoration unit
void av1_loop_restoration_filter_unit(
const RestorationTileLimits *limits, const RestorationUnitInfo *rui,
const RestorationStripeBoundaries *rsb, RestorationLineBuffers *rlbs,
const AV1PixelRect *tile_rect, int tile_stripe0, int ss_x, int ss_y,
int bit_depth, uint16_t *data, int stride, uint16_t *dst, int dst_stride,
int32_t *tmpbuf, int optimized_lr) {
RestorationType unit_rtype = rui->restoration_type;
int unit_h = limits->v_end - limits->v_start;
int unit_w = limits->h_end - limits->h_start;
uint16_t *data_tl = data + limits->v_start * stride + limits->h_start;
uint16_t *dst_tl = dst + limits->v_start * dst_stride + limits->h_start;
if (unit_rtype == RESTORE_NONE) {
copy_tile(unit_w, unit_h, data_tl, stride, dst_tl, dst_stride);
return;
}
const int filter_idx = (int)unit_rtype - 1;
assert(filter_idx < NUM_STRIPE_FILTERS);
const stripe_filter_fun stripe_filter = stripe_filters[filter_idx];
const int procunit_width = RESTORATION_PROC_UNIT_SIZE >> ss_x;
#if CONFIG_WIENER_NONSEP_CROSS_FILT || CONFIG_PC_WIENER
// rui is a pointer to a const but we modify its contents when calling
// stripe_filter(). Use a temporary.
RestorationUnitInfo rui_contents = *rui;
RestorationUnitInfo *tmp_rui = &rui_contents;
#else
const RestorationUnitInfo *tmp_rui = rui;
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT || CONFIG_PC_WIENER
#if CONFIG_WIENER_NONSEP_CROSS_FILT
const uint16_t *luma_in_ru = NULL;
const int enable_cross_buffers =
unit_rtype == RESTORE_WIENER_NONSEP && rui->plane != AOM_PLANE_Y;
if (enable_cross_buffers)
luma_in_ru =
rui->luma + limits->v_start * rui->luma_stride + limits->h_start;
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
#if CONFIG_PC_WIENER
const int enable_pcwiener_buffers = unit_rtype == RESTORE_PC_WIENER
#if CONFIG_WIENER_NONSEP
|| unit_rtype == RESTORE_WIENER_NONSEP
#endif // CONFIG_WIENER_NONSEP
;
PcwienerBuffers pc_wiener_buffers = { 0 };
tmp_rui->pcwiener_buffers = &pc_wiener_buffers;
const uint8_t *tskip_in_ru = NULL;
uint8_t *wiener_class_id_in_ru = NULL;
if (enable_pcwiener_buffers) {
tskip_in_ru = rui->tskip +
(limits->v_start >> MI_SIZE_LOG2) * rui->tskip_stride +
(limits->h_start >> MI_SIZE_LOG2);
wiener_class_id_in_ru =
rui->wiener_class_id +
(limits->v_start >> MI_SIZE_LOG2) * rui->wiener_class_id_stride +
(limits->h_start >> MI_SIZE_LOG2);
allocate_pcwiener_line_buffers(procunit_width, tmp_rui->pcwiener_buffers);
}
#endif // CONFIG_PC_WIENER
// Convolve the whole tile one stripe at a time
RestorationTileLimits remaining_stripes = *limits;
int i = 0;
while (i < unit_h) {
int copy_above, copy_below;
remaining_stripes.v_start = limits->v_start + i;
get_stripe_boundary_info(&remaining_stripes, tile_rect, ss_y, &copy_above,
&copy_below);
const int full_stripe_height = RESTORATION_PROC_UNIT_SIZE >> ss_y;
const int runit_offset = RESTORATION_UNIT_OFFSET >> ss_y;
// Work out where this stripe's boundaries are within
// rsb->stripe_boundary_{above,below}
const int tile_stripe =
(remaining_stripes.v_start - tile_rect->top + runit_offset) /
full_stripe_height;
const int frame_stripe = tile_stripe0 + tile_stripe;
const int rsb_row = RESTORATION_CTX_VERT * frame_stripe;
// Calculate this stripe's height, based on two rules:
// * The topmost stripe in each tile is 8 luma pixels shorter than usual.
// * We can't extend past the end of the current restoration unit
const int nominal_stripe_height =
full_stripe_height - ((tile_stripe == 0) ? runit_offset : 0);
const int h = AOMMIN(nominal_stripe_height,
remaining_stripes.v_end - remaining_stripes.v_start);
setup_processing_stripe_boundary(&remaining_stripes, rsb, rsb_row, h, data,
stride, rlbs, copy_above, copy_below,
optimized_lr);
#if CONFIG_WIENER_NONSEP_CROSS_FILT
tmp_rui->luma =
enable_cross_buffers ? luma_in_ru + i * rui->luma_stride : NULL;
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
#if CONFIG_PC_WIENER
tmp_rui->tskip = enable_pcwiener_buffers
? tskip_in_ru + (i >> MI_SIZE_LOG2) * rui->tskip_stride
: NULL;
tmp_rui->wiener_class_id =
enable_pcwiener_buffers
? wiener_class_id_in_ru +
(i >> MI_SIZE_LOG2) * rui->wiener_class_id_stride
: NULL;
#endif // CONFIG_PC_WIENER
stripe_filter(tmp_rui, unit_w, h, procunit_width, data_tl + i * stride,
stride, dst_tl + i * dst_stride, dst_stride, tmpbuf,
bit_depth);
restore_processing_stripe_boundary(&remaining_stripes, rlbs, h, data,
stride, copy_above, copy_below,
optimized_lr);
i += h;
}
#if CONFIG_PC_WIENER
if (enable_pcwiener_buffers)
free_pcwiener_line_buffers(tmp_rui->pcwiener_buffers);
#endif // CONFIG_PC_WIENER
}
static void filter_frame_on_unit(const RestorationTileLimits *limits,
const AV1PixelRect *tile_rect,
int rest_unit_idx, int rest_unit_idx_seq,
void *priv, int32_t *tmpbuf,
RestorationLineBuffers *rlbs) {
(void)rest_unit_idx_seq;
FilterFrameCtxt *ctxt = (FilterFrameCtxt *)priv;
const RestorationInfo *rsi = ctxt->rsi;
#if CONFIG_WIENER_NONSEP || CONFIG_PC_WIENER
rsi->unit_info[rest_unit_idx].plane = ctxt->plane;
rsi->unit_info[rest_unit_idx].base_qindex = ctxt->base_qindex;
#endif // CONFIG_WIENER_NONSEP || CONFIG_PC_WIENER
#if CONFIG_WIENER_NONSEP_CROSS_FILT
rsi->unit_info[rest_unit_idx].luma = ctxt->luma;
rsi->unit_info[rest_unit_idx].luma_stride = ctxt->luma_stride;
#endif // CONFIG_WIENER_NONSEP_CROSS_FILT
#if CONFIG_PC_WIENER
rsi->unit_info[rest_unit_idx].tskip = ctxt->tskip;
rsi->unit_info[rest_unit_idx].tskip_stride = ctxt->tskip_stride;
rsi->unit_info[rest_unit_idx].wiener_class_id = ctxt->wiener_class_id;
rsi->unit_info[rest_unit_idx].wiener_class_id_stride =
ctxt->wiener_class_id_stride;
rsi->unit_info[rest_unit_idx].qindex_offset = ctxt->qindex_offset;
rsi->unit_info[rest_unit_idx].wiener_class_id_restrict = -1;
#endif // CONFIG_PC_WIENER
av1_loop_restoration_filter_unit(
limits, &rsi->unit_info[rest_unit_idx], &rsi->boundaries, rlbs, tile_rect,
ctxt->tile_stripe0, ctxt->ss_x, ctxt->ss_y, ctxt->bit_depth, ctxt->data8,
ctxt->data_stride, ctxt->dst8, ctxt->dst_stride, tmpbuf,
rsi->optimized_lr);
}
void av1_loop_restoration_filter_frame_init(AV1LrStruct *lr_ctxt,
YV12_BUFFER_CONFIG *frame,
AV1_COMMON *cm, int optimized_lr,
int num_planes) {
const SequenceHeader *const seq_params = &cm->seq_params;
const int bit_depth = seq_params->bit_depth;
lr_ctxt->dst = &cm->rst_frame;
const int frame_width = frame->crop_widths[0];
const int frame_height = frame->crop_heights[0];
if (aom_realloc_frame_buffer(
lr_ctxt->dst, frame_width, frame_height, seq_params->subsampling_x,
seq_params->subsampling_y, AOM_RESTORATION_FRAME_BORDER,
cm->features.byte_alignment, NULL, NULL, NULL) < 0)
aom_internal_error(&cm->error, AOM_CODEC_MEM_ERROR,
"Failed to allocate restoration dst buffer");
lr_ctxt->on_rest_unit = filter_frame_on_unit;
lr_ctxt->frame = frame;
for (int plane = 0; plane < num_planes; ++plane) {
RestorationInfo *rsi = &cm->rst_info[plane];
RestorationType rtype = rsi->frame_restoration_type;
rsi->optimized_lr = optimized_lr;
if (rtype == RESTORE_NONE) {
continue;
}
const int is_uv = plane > 0;
const int plane_width = frame->crop_widths[is_uv];
const int plane_height = frame->crop_heights[is_uv];
FilterFrameCtxt *lr_plane_ctxt = &lr_ctxt->ctxt[plane];
av1_extend_frame(frame->buffers[plane], plane_width, plane_height,
frame->strides[is_uv], RESTORATION_BORDER,
RESTORATION_BORDER);
lr_plane_ctxt->rsi = rsi;
lr_plane_ctxt->ss_x = is_uv && seq_params->subsampling_x;
lr_plane_ctxt->ss_y = is_uv && seq_params->subsampling_y;
lr_plane_ctxt->bit_depth = bit_depth;