| /* |
| * 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 "av1/common/av1_common_int.h" |
| #include "av1/common/cfl.h" |
| #include "av1/common/common_data.h" |
| #include "av1/common/enums.h" |
| #include "av1/common/reconintra.h" |
| |
| #include "config/av1_rtcd.h" |
| |
| #if CONFIG_IMPROVED_CFL |
| #include "av1/common/warped_motion.h" |
| #endif |
| |
| void cfl_init(CFL_CTX *cfl, const SequenceHeader *seq_params) { |
| assert(block_size_wide[CFL_MAX_BLOCK_SIZE] == CFL_BUF_LINE); |
| assert(block_size_high[CFL_MAX_BLOCK_SIZE] == CFL_BUF_LINE); |
| |
| memset(&cfl->recon_buf_q3, 0, sizeof(cfl->recon_buf_q3)); |
| memset(&cfl->ac_buf_q3, 0, sizeof(cfl->ac_buf_q3)); |
| cfl->subsampling_x = seq_params->subsampling_x; |
| cfl->subsampling_y = seq_params->subsampling_y; |
| cfl->are_parameters_computed = 0; |
| cfl->store_y = 0; |
| // The DC_PRED cache is disabled by default and is only enabled in |
| // cfl_rd_pick_alpha |
| cfl->use_dc_pred_cache = 0; |
| cfl->dc_pred_is_cached[CFL_PRED_U] = 0; |
| cfl->dc_pred_is_cached[CFL_PRED_V] = 0; |
| } |
| |
| void cfl_store_dc_pred(MACROBLOCKD *const xd, const uint16_t *input, |
| CFL_PRED_TYPE pred_plane, int width) { |
| assert(pred_plane < CFL_PRED_PLANES); |
| assert(width <= CFL_BUF_LINE); |
| |
| memcpy(xd->cfl.dc_pred_cache[pred_plane], input, width << 1); |
| return; |
| } |
| |
| static void cfl_load_dc_pred_hbd(const int16_t *dc_pred_cache, uint16_t *dst, |
| int dst_stride, int width, int height) { |
| const size_t num_bytes = width << 1; |
| for (int j = 0; j < height; j++) { |
| memcpy(dst, dc_pred_cache, num_bytes); |
| dst += dst_stride; |
| } |
| } |
| void cfl_load_dc_pred(MACROBLOCKD *const xd, uint16_t *dst, int dst_stride, |
| TX_SIZE tx_size, CFL_PRED_TYPE pred_plane) { |
| const int width = tx_size_wide[tx_size]; |
| const int height = tx_size_high[tx_size]; |
| assert(pred_plane < CFL_PRED_PLANES); |
| assert(width <= CFL_BUF_LINE); |
| assert(height <= CFL_BUF_LINE); |
| cfl_load_dc_pred_hbd(xd->cfl.dc_pred_cache[pred_plane], dst, dst_stride, |
| width, height); |
| } |
| |
| // Due to frame boundary issues, it is possible that the total area covered by |
| // chroma exceeds that of luma. When this happens, we fill the missing pixels by |
| // repeating the last columns and/or rows. |
| static INLINE void cfl_pad(CFL_CTX *cfl, int width, int height) { |
| const int diff_width = width - cfl->buf_width; |
| const int diff_height = height - cfl->buf_height; |
| uint16_t last_pixel; |
| if (diff_width > 0) { |
| const int min_height = height - diff_height; |
| uint16_t *recon_buf_q3 = cfl->recon_buf_q3 + (width - diff_width); |
| for (int j = 0; j < min_height; j++) { |
| last_pixel = recon_buf_q3[-1]; |
| assert(recon_buf_q3 + diff_width <= cfl->recon_buf_q3 + CFL_BUF_SQUARE); |
| for (int i = 0; i < diff_width; i++) { |
| recon_buf_q3[i] = last_pixel; |
| } |
| recon_buf_q3 += CFL_BUF_LINE; |
| } |
| cfl->buf_width = width; |
| } |
| if (diff_height > 0) { |
| uint16_t *recon_buf_q3 = |
| cfl->recon_buf_q3 + ((height - diff_height) * CFL_BUF_LINE); |
| for (int j = 0; j < diff_height; j++) { |
| const uint16_t *last_row_q3 = recon_buf_q3 - CFL_BUF_LINE; |
| assert(recon_buf_q3 + width <= cfl->recon_buf_q3 + CFL_BUF_SQUARE); |
| for (int i = 0; i < width; i++) { |
| recon_buf_q3[i] = last_row_q3[i]; |
| } |
| recon_buf_q3 += CFL_BUF_LINE; |
| } |
| cfl->buf_height = height; |
| } |
| } |
| |
| static void subtract_average_c(const uint16_t *src, int16_t *dst, int width, |
| int height, int round_offset, int num_pel_log2) { |
| int sum = round_offset; |
| const uint16_t *recon = src; |
| for (int j = 0; j < height; j++) { |
| for (int i = 0; i < width; i++) { |
| sum += recon[i]; |
| } |
| recon += CFL_BUF_LINE; |
| } |
| const int avg = sum >> num_pel_log2; |
| for (int j = 0; j < height; j++) { |
| for (int i = 0; i < width; i++) { |
| dst[i] = src[i] - avg; |
| } |
| src += CFL_BUF_LINE; |
| dst += CFL_BUF_LINE; |
| } |
| } |
| |
| CFL_SUB_AVG_FN(c) |
| |
| static INLINE int cfl_idx_to_alpha(uint8_t alpha_idx, int8_t joint_sign, |
| CFL_PRED_TYPE pred_type) { |
| const int alpha_sign = (pred_type == CFL_PRED_U) ? CFL_SIGN_U(joint_sign) |
| : CFL_SIGN_V(joint_sign); |
| if (alpha_sign == CFL_SIGN_ZERO) return 0; |
| const int abs_alpha_q3 = |
| (pred_type == CFL_PRED_U) ? CFL_IDX_U(alpha_idx) : CFL_IDX_V(alpha_idx); |
| return (alpha_sign == CFL_SIGN_POS) ? abs_alpha_q3 + 1 : -abs_alpha_q3 - 1; |
| } |
| |
| void cfl_predict_hbd_c(const int16_t *ac_buf_q3, uint16_t *dst, int dst_stride, |
| int alpha_q3, int bit_depth, int width, int height) { |
| for (int j = 0; j < height; j++) { |
| for (int i = 0; i < width; i++) { |
| dst[i] = clip_pixel_highbd( |
| get_scaled_luma_q0(alpha_q3, ac_buf_q3[i]) + dst[i], bit_depth); |
| } |
| dst += dst_stride; |
| ac_buf_q3 += CFL_BUF_LINE; |
| } |
| } |
| |
| CFL_PREDICT_FN(c, hbd) |
| |
| #if !CONFIG_IMPROVED_CFL |
| static void cfl_compute_parameters(MACROBLOCKD *const xd, TX_SIZE tx_size) { |
| CFL_CTX *const cfl = &xd->cfl; |
| // Do not call cfl_compute_parameters multiple time on the same values. |
| assert(cfl->are_parameters_computed == 0); |
| |
| cfl_pad(cfl, tx_size_wide[tx_size], tx_size_high[tx_size]); |
| |
| cfl_get_subtract_average_fn(tx_size)(cfl->recon_buf_q3, cfl->ac_buf_q3); |
| cfl->are_parameters_computed = 1; |
| } |
| #endif |
| |
| #if CONFIG_IMPROVED_CFL |
| // Subtract the average from neighoring pixels |
| static void subtract_average_neighbor(const uint16_t *src, int16_t *dst, |
| int width, int height, int avg) { |
| for (int j = 0; j < height; ++j) { |
| for (int i = 0; i < width; ++i) { |
| dst[i] = src[i] - avg; |
| } |
| src += CFL_BUF_LINE; |
| dst += CFL_BUF_LINE; |
| } |
| } |
| |
| // Calculate luma AC values with neighbor DC |
| static void cfl_compute_parameters_alt(CFL_CTX *const cfl, TX_SIZE tx_size) { |
| cfl_pad(cfl, tx_size_wide[tx_size], tx_size_high[tx_size]); |
| |
| subtract_average_neighbor(cfl->recon_buf_q3, cfl->ac_buf_q3, |
| tx_size_wide[tx_size], tx_size_high[tx_size], |
| cfl->avg_l); |
| cfl->are_parameters_computed = 1; |
| } |
| |
| void cfl_implicit_fetch_neighbor_luma(const AV1_COMMON *cm, |
| MACROBLOCKD *const xd, int row, int col, |
| TX_SIZE tx_size) { |
| CFL_CTX *const cfl = &xd->cfl; |
| struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; |
| int input_stride = pd->dst.stride; |
| uint16_t *dst = &pd->dst.buf[(row * pd->dst.stride + col) << MI_SIZE_LOG2]; |
| |
| const int width = tx_size_wide[tx_size]; |
| const int height = tx_size_high[tx_size]; |
| const int sub_x = cfl->subsampling_x; |
| const int sub_y = cfl->subsampling_y; |
| const int row_start = ((xd->mi_row + row) << MI_SIZE_LOG2); |
| const int col_start = ((xd->mi_col + col) << MI_SIZE_LOG2); |
| #if CONFIG_EXT_RECUR_PARTITIONS |
| int have_top = 0, have_left = 0; |
| set_have_top_and_left(&have_top, &have_left, xd, row, col, AOM_PLANE_Y); |
| #else |
| const int have_top = |
| row || (sub_y ? xd->chroma_up_available : xd->up_available); |
| const int have_left = |
| col || (sub_x ? xd->chroma_left_available : xd->left_available); |
| #endif // CONFIG_EXT_RECUR_PARTITIONS |
| |
| memset(cfl->recon_yuv_buf_above[0], 0, sizeof(cfl->recon_yuv_buf_above[0])); |
| memset(cfl->recon_yuv_buf_left[0], 0, sizeof(cfl->recon_yuv_buf_left[0])); |
| // top boundary |
| uint16_t *output_q3 = cfl->recon_yuv_buf_above[0]; |
| if (have_top) { |
| if (sub_x && sub_y) { |
| uint16_t *input = dst - 2 * input_stride; |
| for (int i = 0; i < width; i += 2) { |
| const int bot = i + input_stride; |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| const int filter_type = cm->seq_params.enable_cfl_ds_filter; |
| if (filter_type == 1) { |
| output_q3[i >> 1] = input[AOMMAX(0, i - 1)] + 2 * input[i] + |
| input[i + 1] + input[bot + AOMMAX(-1, -i)] + |
| 2 * input[bot] + input[bot + 1]; |
| } else if (filter_type == 2) { |
| #if CONFIG_CFL_IMPROVEMENTS |
| const int top = i - input_stride; |
| output_q3[i >> 1] = input[AOMMAX(0, i - 1)] + 4 * input[i] + |
| input[i + 1] + input[top] + input[bot]; |
| #else |
| output_q3[i >> 1] = input[i] * 8; |
| #endif // CONFIG_CFL_IMPROVEMENTS |
| } else { |
| output_q3[i >> 1] = |
| (input[i] + input[i + 1] + input[bot] + input[bot + 1] + 2) << 1; |
| } |
| #else |
| #if CONFIG_IMPROVED_CFL |
| output_q3[i >> 1] = input[AOMMAX(0, i - 1)] + 2 * input[i] + |
| input[i + 1] + input[bot + AOMMAX(-1, -i)] + |
| 2 * input[bot] + input[bot + 1]; |
| #else |
| output_q3[i >> 1] = |
| (input[i] + input[i + 1] + input[bot] + input[bot + 1] + 2) << 1; |
| #endif |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| } |
| #if CONFIG_ADPTIVE_DS_422 |
| } else if (sub_x) { |
| uint16_t *input = dst - input_stride; |
| for (int i = 0; i < width; i += 2) { |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| const int filter_type = cm->seq_params.enable_cfl_ds_filter; |
| if (filter_type == 1) { |
| output_q3[i >> 1] = |
| (input[AOMMAX(0, i - 1)] + 2 * input[i] + input[i + 1]) << 1; |
| } else if (filter_type == 2) { |
| output_q3[i >> 1] = input[i] << 3; |
| } else { |
| output_q3[i >> 1] = (input[i] + input[i + 1]) << 2; |
| } |
| #else |
| output_q3[i >> 1] = input[i] << 3; |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| } |
| #endif // CONFIG_ADPTIVE_DS_422 |
| } else if (sub_y) { |
| uint16_t *input = dst - 2 * input_stride; |
| for (int i = 0; i < width; ++i) { |
| const int bot = i + input_stride; |
| output_q3[i] = (input[i] + input[bot]) << 2; |
| } |
| } else { |
| uint16_t *input = dst - input_stride; |
| for (int i = 0; i < width; ++i) output_q3[i] = input[i] << 3; |
| } |
| if (col_start >= cm->width) { |
| assert(width <= MI_SIZE); |
| const uint16_t mid = (1 << xd->bd) >> 1; |
| for (int j = 0; j < width >> sub_x; ++j) { |
| output_q3[j] = mid; |
| } |
| } else if ((col_start + width) > cm->width) { |
| int temp = width - ((col_start + width) - cm->width); |
| assert(temp > 0 && temp < width); |
| for (int i = temp >> sub_x; i < width >> sub_x; ++i) { |
| output_q3[i] = output_q3[i - 1]; |
| } |
| } |
| } |
| |
| // left boundary |
| output_q3 = cfl->recon_yuv_buf_left[0]; |
| if (have_left) { |
| if (sub_x && sub_y) { |
| uint16_t *input = dst - 2; |
| for (int j = 0; j < height; j += 2) { |
| const int bot = input_stride; |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| const int filter_type = cm->seq_params.enable_cfl_ds_filter; |
| if (filter_type == 1) { |
| output_q3[j >> 1] = input[-1] + 2 * input[0] + input[1] + |
| input[bot - 1] + 2 * input[bot] + input[bot + 1]; |
| } else if (filter_type == 2) { |
| #if CONFIG_CFL_IMPROVEMENTS |
| const int top = (j == 0) ? 0 : (0 - input_stride); |
| output_q3[j >> 1] = |
| input[-1] + 4 * input[0] + input[1] + input[top] + input[bot]; |
| #else |
| output_q3[j >> 1] = input[0] * 8; |
| #endif // CONFIG_CFL_IMPROVEMENTS |
| } else { |
| output_q3[j >> 1] = |
| (input[0] + input[1] + input[bot] + input[bot + 1]) << 1; |
| } |
| #else |
| #if CONFIG_IMPROVED_CFL |
| output_q3[j >> 1] = input[-1] + 2 * input[0] + input[1] + |
| input[bot - 1] + 2 * input[bot] + input[bot + 1]; |
| #else |
| output_q3[j >> 1] = (input[0] + input[1] + input[bot] + input[bot + 1]) |
| << 1; |
| #endif |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| input += input_stride * 2; |
| } |
| #if CONFIG_ADPTIVE_DS_422 |
| } else if (sub_x) { |
| uint16_t *input = dst - 2; |
| for (int j = 0; j < height; ++j) { |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| const int filter_type = cm->seq_params.enable_cfl_ds_filter; |
| if (filter_type == 1) { |
| output_q3[j] = (input[-1] + 2 * input[0] + input[1]) << 1; |
| } else if (filter_type == 2) { |
| output_q3[j] = input[0] << 3; |
| } else { |
| output_q3[j] = (input[0] + input[1]) << 2; |
| } |
| #else |
| output_q3[j] = input[0] << 3; |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| input += input_stride; |
| } |
| #endif // CONFIG_ADPTIVE_DS_422 |
| } else if (sub_y) { |
| uint16_t *input = dst - 1; |
| for (int j = 0; j < height; ++j) { |
| output_q3[j] = (input[0] + input[input_stride]) << 2; |
| input += input_stride * 2; |
| } |
| } else { |
| uint16_t *input = dst - 1; |
| for (int j = 0; j < height; ++j) |
| output_q3[j] = input[j * input_stride] << 3; |
| } |
| if (row_start >= cm->height) { |
| assert(height <= MI_SIZE); |
| const uint16_t mid = (1 << xd->bd) >> 1; |
| for (int j = 0; j < height >> sub_y; ++j) { |
| output_q3[j] = mid; |
| } |
| } else if ((row_start + height) > cm->height) { |
| int temp = height - ((row_start + height) - cm->height); |
| assert(temp > 0 && temp < height); |
| for (int j = temp >> sub_y; j < height >> sub_y; ++j) { |
| output_q3[j] = output_q3[j - 1]; |
| } |
| } |
| } |
| } |
| |
| void cfl_calc_luma_dc(MACROBLOCKD *const xd, int row, int col, |
| TX_SIZE tx_size) { |
| CFL_CTX *const cfl = &xd->cfl; |
| const int width = tx_size_wide[tx_size]; |
| const int height = tx_size_high[tx_size]; |
| |
| #if CONFIG_EXT_RECUR_PARTITIONS |
| int have_top = 0, have_left = 0; |
| set_have_top_and_left(&have_top, &have_left, xd, row, col, AOM_PLANE_Y); |
| #else |
| const int sub_x = cfl->subsampling_x; |
| const int sub_y = cfl->subsampling_y; |
| const int have_top = |
| row || (sub_y ? xd->chroma_up_available : xd->up_available); |
| const int have_left = |
| col || (sub_x ? xd->chroma_left_available : xd->left_available); |
| #endif // CONFIG_EXT_RECUR_PARTITIONS |
| |
| int count = 0; |
| int sum_x = 0; |
| |
| uint16_t *l; |
| if (have_top) { |
| l = cfl->recon_yuv_buf_above[0]; |
| for (int i = 0; i < width; ++i) { |
| sum_x += l[i]; |
| } |
| count += width; |
| } |
| |
| if (have_left) { |
| l = cfl->recon_yuv_buf_left[0]; |
| for (int i = 0; i < height; ++i) { |
| sum_x += l[i]; |
| } |
| count += height; |
| } |
| |
| if (count > 0) { |
| cfl->avg_l = (sum_x + count / 2) / count; |
| } else { |
| cfl->avg_l = 8 << (xd->bd - 1); |
| } |
| } |
| |
| void cfl_implicit_fetch_neighbor_chroma(const AV1_COMMON *cm, |
| MACROBLOCKD *const xd, int plane, |
| int row, int col, TX_SIZE tx_size) { |
| CFL_CTX *const cfl = &xd->cfl; |
| struct macroblockd_plane *const pd = &xd->plane[plane]; |
| int input_stride = pd->dst.stride; |
| uint16_t *dst = &pd->dst.buf[(row * pd->dst.stride + col) << MI_SIZE_LOG2]; |
| |
| const int width = tx_size_wide[tx_size]; |
| const int height = tx_size_high[tx_size]; |
| const int sub_x = cfl->subsampling_x; |
| const int sub_y = cfl->subsampling_y; |
| |
| int pic_width_c = cm->width >> sub_x; |
| int pic_height_c = cm->height >> sub_y; |
| |
| const int row_start = (((xd->mi_row >> sub_y) + row) << MI_SIZE_LOG2); |
| const int col_start = (((xd->mi_col >> sub_x) + col) << MI_SIZE_LOG2); |
| #if CONFIG_EXT_RECUR_PARTITIONS |
| int have_top = 0, have_left = 0; |
| set_have_top_and_left(&have_top, &have_left, xd, row, col, plane); |
| #else |
| const int have_top = |
| row || (sub_y ? xd->chroma_up_available : xd->up_available); |
| const int have_left = |
| col || (sub_x ? xd->chroma_left_available : xd->left_available); |
| #endif // CONFIG_EXT_RECUR_PARTITIONS |
| |
| memset(cfl->recon_yuv_buf_above[plane], 0, |
| sizeof(cfl->recon_yuv_buf_above[plane])); |
| memset(cfl->recon_yuv_buf_left[plane], 0, |
| sizeof(cfl->recon_yuv_buf_left[plane])); |
| |
| // top boundary |
| uint16_t *output_q3 = cfl->recon_yuv_buf_above[plane]; |
| if (have_top) { |
| uint16_t *input = dst - input_stride; |
| for (int i = 0; i < width; ++i) { |
| output_q3[i] = input[i]; |
| } |
| if (col_start > pic_width_c) { |
| const uint16_t mid = (1 << xd->bd) >> 1; |
| for (int i = 0; i < width; ++i) { |
| output_q3[i] = mid; |
| } |
| } else if ((col_start + width) > pic_width_c) { |
| int temp = width - ((col_start + width) - pic_width_c); |
| assert(temp > 0 && temp < width); |
| for (int i = temp; i < width; ++i) { |
| output_q3[i] = output_q3[i - 1]; |
| } |
| } |
| } |
| |
| // left boundary |
| output_q3 = cfl->recon_yuv_buf_left[plane]; |
| if (have_left) { |
| uint16_t *input = dst - 1; |
| for (int j = 0; j < height; ++j) { |
| output_q3[j] = input[0]; |
| input += input_stride; |
| } |
| |
| if (row_start >= cm->height) { |
| const uint16_t mid = (1 << xd->bd) >> 1; |
| for (int i = 0; i < height; ++i) { |
| output_q3[i] = mid; |
| } |
| } else if ((row_start + height) > pic_height_c) { |
| int temp = height - ((row_start + height) - pic_height_c); |
| assert(temp > 0 && temp < height); |
| for (int j = temp; j < height; ++j) { |
| output_q3[j] = output_q3[j - 1]; |
| } |
| } |
| } |
| } |
| |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| void cfl_derive_block_implicit_scaling_factor(uint16_t *l, const uint16_t *c, |
| const int width, const int height, |
| const int stride, |
| const int chroma_stride, |
| int *alpha) { |
| int count = 0; |
| int sum_x = 0, sum_y = 0, sum_xy = 0, sum_xx = 0; |
| for (int j = 0; j < height; ++j) { |
| for (int i = 0; i < width; ++i) { |
| sum_x += l[i + j * stride] >> 3; |
| sum_y += c[i + j * chroma_stride]; |
| sum_xy += (l[i + j * stride] >> 3) * c[i + j * chroma_stride]; |
| sum_xx += (l[i + j * stride] >> 3) * (l[i + j * stride] >> 3); |
| } |
| count += width; |
| } |
| |
| if (count > 0) { |
| const int32_t der = sum_xx - (int32_t)((int64_t)sum_x * sum_x / count); |
| const int32_t nor = sum_xy - (int32_t)((int64_t)sum_x * sum_y / count); |
| const int16_t shift = 3 + CFL_ADD_BITS_ALPHA; |
| *alpha = resolve_divisor_32_CfL(nor, der, shift); |
| } else { |
| *alpha = 0; |
| } |
| } |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| |
| void cfl_derive_implicit_scaling_factor(MACROBLOCKD *const xd, int plane, |
| int row, int col, TX_SIZE tx_size) { |
| CFL_CTX *const cfl = &xd->cfl; |
| MB_MODE_INFO *mbmi = xd->mi[0]; |
| const int width = tx_size_wide[tx_size]; |
| const int height = tx_size_high[tx_size]; |
| |
| #if CONFIG_EXT_RECUR_PARTITIONS |
| int have_top = 0, have_left = 0; |
| set_have_top_and_left(&have_top, &have_left, xd, row, col, plane); |
| #else |
| const int sub_x = cfl->subsampling_x; |
| const int sub_y = cfl->subsampling_y; |
| const int have_top = |
| row || (sub_y ? xd->chroma_up_available : xd->up_available); |
| const int have_left = |
| col || (sub_x ? xd->chroma_left_available : xd->left_available); |
| #endif // CONFIG_EXT_RECUR_PARTITIONS |
| |
| int count = 0; |
| int sum_x = 0, sum_y = 0, sum_xy = 0, sum_xx = 0; |
| |
| uint16_t *l, *c; |
| if (have_top) { |
| l = cfl->recon_yuv_buf_above[0]; |
| c = cfl->recon_yuv_buf_above[plane]; |
| |
| for (int i = 0; i < width; ++i) { |
| sum_x += l[i] >> 3; |
| sum_y += c[i]; |
| sum_xy += (l[i] >> 3) * c[i]; |
| sum_xx += (l[i] >> 3) * (l[i] >> 3); |
| } |
| count += width; |
| } |
| |
| if (have_left) { |
| l = cfl->recon_yuv_buf_left[0]; |
| c = cfl->recon_yuv_buf_left[plane]; |
| |
| for (int i = 0; i < height; ++i) { |
| sum_x += l[i] >> 3; |
| sum_y += c[i]; |
| sum_xy += (l[i] >> 3) * c[i]; |
| sum_xx += (l[i] >> 3) * (l[i] >> 3); |
| } |
| count += height; |
| } |
| |
| if (count > 0) { |
| const int32_t der = sum_xx - (int32_t)((int64_t)sum_x * sum_x / count); |
| const int32_t nor = sum_xy - (int32_t)((int64_t)sum_x * sum_y / count); |
| const int16_t shift = 3 + CFL_ADD_BITS_ALPHA; |
| mbmi->cfl_implicit_alpha[plane - 1] = |
| resolve_divisor_32_CfL(nor, der, shift); |
| } else { |
| mbmi->cfl_implicit_alpha[plane - 1] = 0; |
| } |
| } |
| #endif |
| |
| void cfl_predict_block(MACROBLOCKD *const xd, uint16_t *dst, int dst_stride, |
| TX_SIZE tx_size, int plane) { |
| CFL_CTX *const cfl = &xd->cfl; |
| MB_MODE_INFO *mbmi = xd->mi[0]; |
| assert(is_cfl_allowed(xd)); |
| |
| #if CONFIG_IMPROVED_CFL |
| cfl_compute_parameters_alt(cfl, tx_size); |
| int alpha_q3; |
| if (mbmi->cfl_idx == CFL_DERIVED_ALPHA) |
| alpha_q3 = mbmi->cfl_implicit_alpha[plane - 1]; |
| else { |
| alpha_q3 = |
| cfl_idx_to_alpha(mbmi->cfl_alpha_idx, mbmi->cfl_alpha_signs, plane - 1); |
| alpha_q3 *= (1 << CFL_ADD_BITS_ALPHA); |
| } |
| #else |
| if (!cfl->are_parameters_computed) cfl_compute_parameters(xd, tx_size); |
| |
| const int alpha_q3 = |
| cfl_idx_to_alpha(mbmi->cfl_alpha_idx, mbmi->cfl_alpha_signs, plane - 1); |
| #endif |
| assert((tx_size_high[tx_size] - 1) * CFL_BUF_LINE + tx_size_wide[tx_size] <= |
| CFL_BUF_SQUARE); |
| cfl_get_predict_hbd_fn(tx_size)(cfl->ac_buf_q3, dst, dst_stride, alpha_q3, |
| xd->bd); |
| } |
| |
| static void cfl_luma_subsampling_420_hbd_c(const uint16_t *input, |
| int input_stride, |
| uint16_t *output_q3, int width, |
| int height) { |
| for (int j = 0; j < height; j += 2) { |
| for (int i = 0; i < width; i += 2) { |
| const int bot = i + input_stride; |
| output_q3[i >> 1] = |
| (input[i] + input[i + 1] + input[bot] + input[bot + 1]) << 1; |
| } |
| input += input_stride << 1; |
| output_q3 += CFL_BUF_LINE; |
| } |
| } |
| |
| #if CONFIG_IMPROVED_CFL |
| void cfl_luma_subsampling_420_hbd_121_c(const uint16_t *input, int input_stride, |
| uint16_t *output_q3, int width, |
| int height) { |
| for (int j = 0; j < height; j += 2) { |
| output_q3[0] = 3 * input[0] + input[1] + 3 * input[input_stride] + |
| input[input_stride + 1]; |
| for (int i = 2; i < width; i += 2) { |
| const int bot = i + input_stride; |
| output_q3[i >> 1] = input[i - 1] + 2 * input[i] + input[i + 1] + |
| input[bot - 1] + 2 * input[bot] + input[bot + 1]; |
| } |
| input += input_stride << 1; |
| output_q3 += CFL_BUF_LINE; |
| } |
| } |
| #endif |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| void cfl_luma_subsampling_420_hbd_colocated(const uint16_t *input, |
| int input_stride, |
| uint16_t *output_q3, int width, |
| int height) { |
| for (int j = 0; j < height; j += 2) { |
| for (int i = 0; i < width; i += 2) { |
| #if CONFIG_CFL_IMPROVEMENTS |
| const int top = (j == 0) ? i : (i - input_stride); |
| const int bot = i + input_stride; |
| output_q3[i >> 1] = input[AOMMAX(0, i - 1)] + 4 * input[i] + |
| input[i + 1] + input[top] + input[bot]; |
| #else |
| output_q3[i >> 1] = input[i] * 8; |
| #endif // CONFIG_CFL_IMPROVEMENTS |
| } |
| input += input_stride << 1; |
| output_q3 += CFL_BUF_LINE; |
| } |
| } |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| |
| static void cfl_luma_subsampling_422_hbd_c(const uint16_t *input, |
| int input_stride, |
| uint16_t *output_q3, int width, |
| int height) { |
| assert((height - 1) * CFL_BUF_LINE + width <= CFL_BUF_SQUARE); |
| for (int j = 0; j < height; j++) { |
| for (int i = 0; i < width; i += 2) { |
| output_q3[i >> 1] = (input[i] + input[i + 1]) << 2; |
| } |
| input += input_stride; |
| output_q3 += CFL_BUF_LINE; |
| } |
| } |
| |
| #if CONFIG_ADPTIVE_DS_422 |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| void cfl_adaptive_luma_subsampling_422_hbd_c(const uint16_t *input, |
| int input_stride, |
| uint16_t *output_q3, int width, |
| int height, int filter_type) { |
| assert((height - 1) * CFL_BUF_LINE + width <= CFL_BUF_SQUARE); |
| for (int j = 0; j < height; j++) { |
| for (int i = 0; i < width; i += 2) { |
| if (filter_type == 1) { |
| output_q3[i >> 1] = |
| (input[AOMMAX(0, i - 1)] + 2 * input[i] + input[i + 1]) << 1; |
| } else if (filter_type == 2) { |
| output_q3[i >> 1] = (input[i]) << 3; |
| } else { |
| output_q3[i >> 1] = (input[i] + input[i + 1]) << 2; |
| } |
| } |
| input += input_stride; |
| output_q3 += CFL_BUF_LINE; |
| } |
| } |
| #else |
| void cfl_luma_subsampling_422_hbd_colocated(const uint16_t *input, |
| int input_stride, |
| uint16_t *output_q3, int width, |
| int height) { |
| assert((height - 1) * CFL_BUF_LINE + width <= CFL_BUF_SQUARE); |
| for (int j = 0; j < height; j++) { |
| for (int i = 0; i < width; i += 2) { |
| output_q3[i >> 1] = (input[i]) << 3; |
| } |
| input += input_stride; |
| output_q3 += CFL_BUF_LINE; |
| } |
| } |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| #endif // CONFIG_ADPTIVE_DS_422 |
| |
| static void cfl_luma_subsampling_444_hbd_c(const uint16_t *input, |
| int input_stride, |
| uint16_t *output_q3, int width, |
| int height) { |
| assert((height - 1) * CFL_BUF_LINE + width <= CFL_BUF_SQUARE); |
| for (int j = 0; j < height; j++) { |
| for (int i = 0; i < width; i++) { |
| output_q3[i] = input[i] << 3; |
| } |
| input += input_stride; |
| output_q3 += CFL_BUF_LINE; |
| } |
| } |
| |
| CFL_GET_SUBSAMPLE_FUNCTION(c) |
| |
| static INLINE cfl_subsample_hbd_fn cfl_subsampling_hbd(TX_SIZE tx_size, |
| int sub_x, int sub_y) { |
| if (sub_x == 1) { |
| if (sub_y == 1) { |
| return cfl_get_luma_subsampling_420_hbd(tx_size); |
| } |
| return cfl_get_luma_subsampling_422_hbd(tx_size); |
| } |
| return cfl_get_luma_subsampling_444_hbd(tx_size); |
| } |
| |
| static void cfl_store(MACROBLOCKD *const xd, CFL_CTX *cfl, |
| const uint16_t *input, int input_stride, int row, int col, |
| TX_SIZE tx_size |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| , |
| int filter_type |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| ) { |
| const int width = tx_size_wide[tx_size]; |
| const int height = tx_size_high[tx_size]; |
| const int tx_off_log2 = MI_SIZE_LOG2; |
| const int sub_x = cfl->subsampling_x; |
| const int sub_y = cfl->subsampling_y; |
| const int store_row = row << (tx_off_log2 - sub_y); |
| const int store_col = col << (tx_off_log2 - sub_x); |
| const int store_height = height >> sub_y; |
| const int store_width = width >> sub_x; |
| |
| // Invalidate current parameters |
| cfl->are_parameters_computed = 0; |
| |
| // Store the surface of the pixel buffer that was written to, this way we |
| // can manage chroma overrun (e.g. when the chroma surfaces goes beyond the |
| // frame boundary) |
| if (col == 0 && row == 0) { |
| cfl->buf_width = store_width; |
| cfl->buf_height = store_height; |
| } else { |
| cfl->buf_width = OD_MAXI(store_col + store_width, cfl->buf_width); |
| cfl->buf_height = OD_MAXI(store_row + store_height, cfl->buf_height); |
| } |
| |
| if (xd->tree_type == CHROMA_PART) { |
| const struct macroblockd_plane *const pd = &xd->plane[PLANE_TYPE_UV]; |
| if (xd->mb_to_right_edge < 0) |
| cfl->buf_width += xd->mb_to_right_edge >> (3 + pd->subsampling_x); |
| if (xd->mb_to_bottom_edge < 0) |
| cfl->buf_height += xd->mb_to_bottom_edge >> (3 + pd->subsampling_y); |
| } |
| |
| // Check that we will remain inside the pixel buffer. |
| assert(store_row + store_height <= CFL_BUF_LINE); |
| assert(store_col + store_width <= CFL_BUF_LINE); |
| |
| // Store the input into the CfL pixel buffer |
| uint16_t *recon_buf_q3 = |
| cfl->recon_buf_q3 + (store_row * CFL_BUF_LINE + store_col); |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| #if CONFIG_ADPTIVE_DS_422 |
| if (sub_x == 1 && sub_y == 0) { |
| cfl_adaptive_luma_subsampling_422_hbd_c(input, input_stride, recon_buf_q3, |
| width, height, filter_type); |
| } else if (filter_type == 1) { |
| #else |
| if (filter_type == 1) { |
| #endif // CONFIG_ADPTIVE_DS_422 |
| if (sub_x && sub_y) |
| cfl_luma_subsampling_420_hbd_121_c(input, input_stride, recon_buf_q3, |
| width, height); |
| else |
| cfl_subsampling_hbd(tx_size, sub_x, sub_y)(input, input_stride, |
| recon_buf_q3); |
| } else if (filter_type == 2) { |
| if (sub_x && sub_y) |
| cfl_luma_subsampling_420_hbd_colocated(input, input_stride, recon_buf_q3, |
| width, height); |
| else |
| cfl_subsampling_hbd(tx_size, sub_x, sub_y)(input, input_stride, |
| recon_buf_q3); |
| } else { |
| cfl_subsampling_hbd(tx_size, sub_x, sub_y)(input, input_stride, |
| recon_buf_q3); |
| } |
| #else |
| #if CONFIG_IMPROVED_CFL |
| if (sub_x && sub_y) |
| cfl_luma_subsampling_420_hbd_121_c(input, input_stride, recon_buf_q3, width, |
| height); |
| #if CONFIG_ADPTIVE_DS_422 |
| else if (sub_x == 1 && sub_y == 0) |
| cfl_luma_subsampling_422_hbd_colocated(input, input_stride, recon_buf_q3, |
| width, height); |
| #endif // CONFIG_ADPTIVE_DS_422 |
| else |
| #endif |
| cfl_subsampling_hbd(tx_size, sub_x, sub_y)(input, input_stride, |
| recon_buf_q3); |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| } |
| |
| void cfl_store_tx(MACROBLOCKD *const xd, int row, int col, TX_SIZE tx_size |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| , |
| int filter_type |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| ) { |
| CFL_CTX *const cfl = &xd->cfl; |
| struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; |
| uint16_t *dst = &pd->dst.buf[(row * pd->dst.stride + col) << MI_SIZE_LOG2]; |
| |
| const int mi_row = -xd->mb_to_top_edge >> MI_SUBPEL_SIZE_LOG2; |
| const int mi_col = -xd->mb_to_left_edge >> MI_SUBPEL_SIZE_LOG2; |
| const int row_offset = mi_row - xd->mi[0]->chroma_ref_info.mi_row_chroma_base; |
| const int col_offset = mi_col - xd->mi[0]->chroma_ref_info.mi_col_chroma_base; |
| |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| cfl_store(xd, cfl, dst, pd->dst.stride, row + row_offset, col + col_offset, |
| tx_size, filter_type); |
| #else |
| cfl_store(xd, cfl, dst, pd->dst.stride, row + row_offset, col + col_offset, |
| tx_size); |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| } |
| |
| static INLINE int max_intra_block_width(const MACROBLOCKD *xd, |
| BLOCK_SIZE plane_bsize, int plane, |
| TX_SIZE tx_size) { |
| const int max_blocks_wide = max_block_wide(xd, plane_bsize, plane) |
| << MI_SIZE_LOG2; |
| return ALIGN_POWER_OF_TWO(max_blocks_wide, tx_size_wide_log2[tx_size]); |
| } |
| |
| static INLINE int max_intra_block_height(const MACROBLOCKD *xd, |
| BLOCK_SIZE plane_bsize, int plane, |
| TX_SIZE tx_size) { |
| const int max_blocks_high = max_block_high(xd, plane_bsize, plane) |
| << MI_SIZE_LOG2; |
| return ALIGN_POWER_OF_TWO(max_blocks_high, tx_size_high_log2[tx_size]); |
| } |
| |
| void cfl_store_block(MACROBLOCKD *const xd, BLOCK_SIZE bsize, TX_SIZE tx_size |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| , |
| int filter_type |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| ) { |
| CFL_CTX *const cfl = &xd->cfl; |
| struct macroblockd_plane *const pd = &xd->plane[AOM_PLANE_Y]; |
| const int width = max_intra_block_width(xd, bsize, AOM_PLANE_Y, tx_size); |
| const int height = max_intra_block_height(xd, bsize, AOM_PLANE_Y, tx_size); |
| const int mi_row = -xd->mb_to_top_edge >> MI_SUBPEL_SIZE_LOG2; |
| const int mi_col = -xd->mb_to_left_edge >> MI_SUBPEL_SIZE_LOG2; |
| const int row_offset = mi_row - xd->mi[0]->chroma_ref_info.mi_row_chroma_base; |
| const int col_offset = mi_col - xd->mi[0]->chroma_ref_info.mi_col_chroma_base; |
| |
| tx_size = get_tx_size(width, height); |
| assert(tx_size != TX_INVALID); |
| #if CONFIG_ADAPTIVE_DS_FILTER |
| cfl_store(xd, cfl, pd->dst.buf, pd->dst.stride, row_offset, col_offset, |
| tx_size, filter_type); |
| #else |
| cfl_store(xd, cfl, pd->dst.buf, pd->dst.stride, row_offset, col_offset, |
| tx_size); |
| #endif // CONFIG_ADAPTIVE_DS_FILTER |
| } |
