| /* |
| * Copyright (c) 2016, Alliance for Open Media. All rights reserved |
| * |
| * This source code is subject to the terms of the BSD 2 Clause License and |
| * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License |
| * was not distributed with this source code in the LICENSE file, you can |
| * obtain it at www.aomedia.org/license/software. 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 www.aomedia.org/license/patent. |
| */ |
| |
| #include <stdio.h> |
| #include <stdlib.h> |
| #include <memory.h> |
| #include <math.h> |
| #include <assert.h> |
| |
| #include "config/av1_rtcd.h" |
| |
| #include "av1/common/warped_motion.h" |
| #include "av1/common/scale.h" |
| |
| // For warping, we really use a 6-tap filter, but we do blocks of 8 pixels |
| // at a time. The zoom/rotation/shear in the model are applied to the |
| // "fractional" position of each pixel, which therefore varies within |
| // [-1, 2) * WARPEDPIXEL_PREC_SHIFTS. |
| // We need an extra 2 taps to fit this in, for a total of 8 taps. |
| /* clang-format off */ |
| const int16_t av1_warped_filter[WARPEDPIXEL_PREC_SHIFTS * 3 + 1][8] = { |
| #if WARPEDPIXEL_PREC_BITS == 6 |
| // [-1, 0) |
| { 0, 0, 127, 1, 0, 0, 0, 0 }, { 0, - 1, 127, 2, 0, 0, 0, 0 }, |
| { 1, - 3, 127, 4, - 1, 0, 0, 0 }, { 1, - 4, 126, 6, - 2, 1, 0, 0 }, |
| { 1, - 5, 126, 8, - 3, 1, 0, 0 }, { 1, - 6, 125, 11, - 4, 1, 0, 0 }, |
| { 1, - 7, 124, 13, - 4, 1, 0, 0 }, { 2, - 8, 123, 15, - 5, 1, 0, 0 }, |
| { 2, - 9, 122, 18, - 6, 1, 0, 0 }, { 2, -10, 121, 20, - 6, 1, 0, 0 }, |
| { 2, -11, 120, 22, - 7, 2, 0, 0 }, { 2, -12, 119, 25, - 8, 2, 0, 0 }, |
| { 3, -13, 117, 27, - 8, 2, 0, 0 }, { 3, -13, 116, 29, - 9, 2, 0, 0 }, |
| { 3, -14, 114, 32, -10, 3, 0, 0 }, { 3, -15, 113, 35, -10, 2, 0, 0 }, |
| { 3, -15, 111, 37, -11, 3, 0, 0 }, { 3, -16, 109, 40, -11, 3, 0, 0 }, |
| { 3, -16, 108, 42, -12, 3, 0, 0 }, { 4, -17, 106, 45, -13, 3, 0, 0 }, |
| { 4, -17, 104, 47, -13, 3, 0, 0 }, { 4, -17, 102, 50, -14, 3, 0, 0 }, |
| { 4, -17, 100, 52, -14, 3, 0, 0 }, { 4, -18, 98, 55, -15, 4, 0, 0 }, |
| { 4, -18, 96, 58, -15, 3, 0, 0 }, { 4, -18, 94, 60, -16, 4, 0, 0 }, |
| { 4, -18, 91, 63, -16, 4, 0, 0 }, { 4, -18, 89, 65, -16, 4, 0, 0 }, |
| { 4, -18, 87, 68, -17, 4, 0, 0 }, { 4, -18, 85, 70, -17, 4, 0, 0 }, |
| { 4, -18, 82, 73, -17, 4, 0, 0 }, { 4, -18, 80, 75, -17, 4, 0, 0 }, |
| { 4, -18, 78, 78, -18, 4, 0, 0 }, { 4, -17, 75, 80, -18, 4, 0, 0 }, |
| { 4, -17, 73, 82, -18, 4, 0, 0 }, { 4, -17, 70, 85, -18, 4, 0, 0 }, |
| { 4, -17, 68, 87, -18, 4, 0, 0 }, { 4, -16, 65, 89, -18, 4, 0, 0 }, |
| { 4, -16, 63, 91, -18, 4, 0, 0 }, { 4, -16, 60, 94, -18, 4, 0, 0 }, |
| { 3, -15, 58, 96, -18, 4, 0, 0 }, { 4, -15, 55, 98, -18, 4, 0, 0 }, |
| { 3, -14, 52, 100, -17, 4, 0, 0 }, { 3, -14, 50, 102, -17, 4, 0, 0 }, |
| { 3, -13, 47, 104, -17, 4, 0, 0 }, { 3, -13, 45, 106, -17, 4, 0, 0 }, |
| { 3, -12, 42, 108, -16, 3, 0, 0 }, { 3, -11, 40, 109, -16, 3, 0, 0 }, |
| { 3, -11, 37, 111, -15, 3, 0, 0 }, { 2, -10, 35, 113, -15, 3, 0, 0 }, |
| { 3, -10, 32, 114, -14, 3, 0, 0 }, { 2, - 9, 29, 116, -13, 3, 0, 0 }, |
| { 2, - 8, 27, 117, -13, 3, 0, 0 }, { 2, - 8, 25, 119, -12, 2, 0, 0 }, |
| { 2, - 7, 22, 120, -11, 2, 0, 0 }, { 1, - 6, 20, 121, -10, 2, 0, 0 }, |
| { 1, - 6, 18, 122, - 9, 2, 0, 0 }, { 1, - 5, 15, 123, - 8, 2, 0, 0 }, |
| { 1, - 4, 13, 124, - 7, 1, 0, 0 }, { 1, - 4, 11, 125, - 6, 1, 0, 0 }, |
| { 1, - 3, 8, 126, - 5, 1, 0, 0 }, { 1, - 2, 6, 126, - 4, 1, 0, 0 }, |
| { 0, - 1, 4, 127, - 3, 1, 0, 0 }, { 0, 0, 2, 127, - 1, 0, 0, 0 }, |
| |
| // [0, 1) |
| { 0, 0, 0, 127, 1, 0, 0, 0}, { 0, 0, -1, 127, 2, 0, 0, 0}, |
| { 0, 1, -3, 127, 4, -2, 1, 0}, { 0, 1, -5, 127, 6, -2, 1, 0}, |
| { 0, 2, -6, 126, 8, -3, 1, 0}, {-1, 2, -7, 126, 11, -4, 2, -1}, |
| {-1, 3, -8, 125, 13, -5, 2, -1}, {-1, 3, -10, 124, 16, -6, 3, -1}, |
| {-1, 4, -11, 123, 18, -7, 3, -1}, {-1, 4, -12, 122, 20, -7, 3, -1}, |
| {-1, 4, -13, 121, 23, -8, 3, -1}, {-2, 5, -14, 120, 25, -9, 4, -1}, |
| {-1, 5, -15, 119, 27, -10, 4, -1}, {-1, 5, -16, 118, 30, -11, 4, -1}, |
| {-2, 6, -17, 116, 33, -12, 5, -1}, {-2, 6, -17, 114, 35, -12, 5, -1}, |
| {-2, 6, -18, 113, 38, -13, 5, -1}, {-2, 7, -19, 111, 41, -14, 6, -2}, |
| {-2, 7, -19, 110, 43, -15, 6, -2}, {-2, 7, -20, 108, 46, -15, 6, -2}, |
| {-2, 7, -20, 106, 49, -16, 6, -2}, {-2, 7, -21, 104, 51, -16, 7, -2}, |
| {-2, 7, -21, 102, 54, -17, 7, -2}, {-2, 8, -21, 100, 56, -18, 7, -2}, |
| {-2, 8, -22, 98, 59, -18, 7, -2}, {-2, 8, -22, 96, 62, -19, 7, -2}, |
| {-2, 8, -22, 94, 64, -19, 7, -2}, {-2, 8, -22, 91, 67, -20, 8, -2}, |
| {-2, 8, -22, 89, 69, -20, 8, -2}, {-2, 8, -22, 87, 72, -21, 8, -2}, |
| {-2, 8, -21, 84, 74, -21, 8, -2}, {-2, 8, -22, 82, 77, -21, 8, -2}, |
| {-2, 8, -21, 79, 79, -21, 8, -2}, {-2, 8, -21, 77, 82, -22, 8, -2}, |
| {-2, 8, -21, 74, 84, -21, 8, -2}, {-2, 8, -21, 72, 87, -22, 8, -2}, |
| {-2, 8, -20, 69, 89, -22, 8, -2}, {-2, 8, -20, 67, 91, -22, 8, -2}, |
| {-2, 7, -19, 64, 94, -22, 8, -2}, {-2, 7, -19, 62, 96, -22, 8, -2}, |
| {-2, 7, -18, 59, 98, -22, 8, -2}, {-2, 7, -18, 56, 100, -21, 8, -2}, |
| {-2, 7, -17, 54, 102, -21, 7, -2}, {-2, 7, -16, 51, 104, -21, 7, -2}, |
| {-2, 6, -16, 49, 106, -20, 7, -2}, {-2, 6, -15, 46, 108, -20, 7, -2}, |
| {-2, 6, -15, 43, 110, -19, 7, -2}, {-2, 6, -14, 41, 111, -19, 7, -2}, |
| {-1, 5, -13, 38, 113, -18, 6, -2}, {-1, 5, -12, 35, 114, -17, 6, -2}, |
| {-1, 5, -12, 33, 116, -17, 6, -2}, {-1, 4, -11, 30, 118, -16, 5, -1}, |
| {-1, 4, -10, 27, 119, -15, 5, -1}, {-1, 4, -9, 25, 120, -14, 5, -2}, |
| {-1, 3, -8, 23, 121, -13, 4, -1}, {-1, 3, -7, 20, 122, -12, 4, -1}, |
| {-1, 3, -7, 18, 123, -11, 4, -1}, {-1, 3, -6, 16, 124, -10, 3, -1}, |
| {-1, 2, -5, 13, 125, -8, 3, -1}, {-1, 2, -4, 11, 126, -7, 2, -1}, |
| { 0, 1, -3, 8, 126, -6, 2, 0}, { 0, 1, -2, 6, 127, -5, 1, 0}, |
| { 0, 1, -2, 4, 127, -3, 1, 0}, { 0, 0, 0, 2, 127, -1, 0, 0}, |
| |
| // [1, 2) |
| { 0, 0, 0, 1, 127, 0, 0, 0 }, { 0, 0, 0, - 1, 127, 2, 0, 0 }, |
| { 0, 0, 1, - 3, 127, 4, - 1, 0 }, { 0, 0, 1, - 4, 126, 6, - 2, 1 }, |
| { 0, 0, 1, - 5, 126, 8, - 3, 1 }, { 0, 0, 1, - 6, 125, 11, - 4, 1 }, |
| { 0, 0, 1, - 7, 124, 13, - 4, 1 }, { 0, 0, 2, - 8, 123, 15, - 5, 1 }, |
| { 0, 0, 2, - 9, 122, 18, - 6, 1 }, { 0, 0, 2, -10, 121, 20, - 6, 1 }, |
| { 0, 0, 2, -11, 120, 22, - 7, 2 }, { 0, 0, 2, -12, 119, 25, - 8, 2 }, |
| { 0, 0, 3, -13, 117, 27, - 8, 2 }, { 0, 0, 3, -13, 116, 29, - 9, 2 }, |
| { 0, 0, 3, -14, 114, 32, -10, 3 }, { 0, 0, 3, -15, 113, 35, -10, 2 }, |
| { 0, 0, 3, -15, 111, 37, -11, 3 }, { 0, 0, 3, -16, 109, 40, -11, 3 }, |
| { 0, 0, 3, -16, 108, 42, -12, 3 }, { 0, 0, 4, -17, 106, 45, -13, 3 }, |
| { 0, 0, 4, -17, 104, 47, -13, 3 }, { 0, 0, 4, -17, 102, 50, -14, 3 }, |
| { 0, 0, 4, -17, 100, 52, -14, 3 }, { 0, 0, 4, -18, 98, 55, -15, 4 }, |
| { 0, 0, 4, -18, 96, 58, -15, 3 }, { 0, 0, 4, -18, 94, 60, -16, 4 }, |
| { 0, 0, 4, -18, 91, 63, -16, 4 }, { 0, 0, 4, -18, 89, 65, -16, 4 }, |
| { 0, 0, 4, -18, 87, 68, -17, 4 }, { 0, 0, 4, -18, 85, 70, -17, 4 }, |
| { 0, 0, 4, -18, 82, 73, -17, 4 }, { 0, 0, 4, -18, 80, 75, -17, 4 }, |
| { 0, 0, 4, -18, 78, 78, -18, 4 }, { 0, 0, 4, -17, 75, 80, -18, 4 }, |
| { 0, 0, 4, -17, 73, 82, -18, 4 }, { 0, 0, 4, -17, 70, 85, -18, 4 }, |
| { 0, 0, 4, -17, 68, 87, -18, 4 }, { 0, 0, 4, -16, 65, 89, -18, 4 }, |
| { 0, 0, 4, -16, 63, 91, -18, 4 }, { 0, 0, 4, -16, 60, 94, -18, 4 }, |
| { 0, 0, 3, -15, 58, 96, -18, 4 }, { 0, 0, 4, -15, 55, 98, -18, 4 }, |
| { 0, 0, 3, -14, 52, 100, -17, 4 }, { 0, 0, 3, -14, 50, 102, -17, 4 }, |
| { 0, 0, 3, -13, 47, 104, -17, 4 }, { 0, 0, 3, -13, 45, 106, -17, 4 }, |
| { 0, 0, 3, -12, 42, 108, -16, 3 }, { 0, 0, 3, -11, 40, 109, -16, 3 }, |
| { 0, 0, 3, -11, 37, 111, -15, 3 }, { 0, 0, 2, -10, 35, 113, -15, 3 }, |
| { 0, 0, 3, -10, 32, 114, -14, 3 }, { 0, 0, 2, - 9, 29, 116, -13, 3 }, |
| { 0, 0, 2, - 8, 27, 117, -13, 3 }, { 0, 0, 2, - 8, 25, 119, -12, 2 }, |
| { 0, 0, 2, - 7, 22, 120, -11, 2 }, { 0, 0, 1, - 6, 20, 121, -10, 2 }, |
| { 0, 0, 1, - 6, 18, 122, - 9, 2 }, { 0, 0, 1, - 5, 15, 123, - 8, 2 }, |
| { 0, 0, 1, - 4, 13, 124, - 7, 1 }, { 0, 0, 1, - 4, 11, 125, - 6, 1 }, |
| { 0, 0, 1, - 3, 8, 126, - 5, 1 }, { 0, 0, 1, - 2, 6, 126, - 4, 1 }, |
| { 0, 0, 0, - 1, 4, 127, - 3, 1 }, { 0, 0, 0, 0, 2, 127, - 1, 0 }, |
| // dummy (replicate row index 191) |
| { 0, 0, 0, 0, 2, 127, - 1, 0 }, |
| |
| #elif WARPEDPIXEL_PREC_BITS == 5 |
| // [-1, 0) |
| {0, 0, 127, 1, 0, 0, 0, 0}, {1, -3, 127, 4, -1, 0, 0, 0}, |
| {1, -5, 126, 8, -3, 1, 0, 0}, {1, -7, 124, 13, -4, 1, 0, 0}, |
| {2, -9, 122, 18, -6, 1, 0, 0}, {2, -11, 120, 22, -7, 2, 0, 0}, |
| {3, -13, 117, 27, -8, 2, 0, 0}, {3, -14, 114, 32, -10, 3, 0, 0}, |
| {3, -15, 111, 37, -11, 3, 0, 0}, {3, -16, 108, 42, -12, 3, 0, 0}, |
| {4, -17, 104, 47, -13, 3, 0, 0}, {4, -17, 100, 52, -14, 3, 0, 0}, |
| {4, -18, 96, 58, -15, 3, 0, 0}, {4, -18, 91, 63, -16, 4, 0, 0}, |
| {4, -18, 87, 68, -17, 4, 0, 0}, {4, -18, 82, 73, -17, 4, 0, 0}, |
| {4, -18, 78, 78, -18, 4, 0, 0}, {4, -17, 73, 82, -18, 4, 0, 0}, |
| {4, -17, 68, 87, -18, 4, 0, 0}, {4, -16, 63, 91, -18, 4, 0, 0}, |
| {3, -15, 58, 96, -18, 4, 0, 0}, {3, -14, 52, 100, -17, 4, 0, 0}, |
| {3, -13, 47, 104, -17, 4, 0, 0}, {3, -12, 42, 108, -16, 3, 0, 0}, |
| {3, -11, 37, 111, -15, 3, 0, 0}, {3, -10, 32, 114, -14, 3, 0, 0}, |
| {2, -8, 27, 117, -13, 3, 0, 0}, {2, -7, 22, 120, -11, 2, 0, 0}, |
| {1, -6, 18, 122, -9, 2, 0, 0}, {1, -4, 13, 124, -7, 1, 0, 0}, |
| {1, -3, 8, 126, -5, 1, 0, 0}, {0, -1, 4, 127, -3, 1, 0, 0}, |
| // [0, 1) |
| { 0, 0, 0, 127, 1, 0, 0, 0}, { 0, 1, -3, 127, 4, -2, 1, 0}, |
| { 0, 2, -6, 126, 8, -3, 1, 0}, {-1, 3, -8, 125, 13, -5, 2, -1}, |
| {-1, 4, -11, 123, 18, -7, 3, -1}, {-1, 4, -13, 121, 23, -8, 3, -1}, |
| {-1, 5, -15, 119, 27, -10, 4, -1}, {-2, 6, -17, 116, 33, -12, 5, -1}, |
| {-2, 6, -18, 113, 38, -13, 5, -1}, {-2, 7, -19, 110, 43, -15, 6, -2}, |
| {-2, 7, -20, 106, 49, -16, 6, -2}, {-2, 7, -21, 102, 54, -17, 7, -2}, |
| {-2, 8, -22, 98, 59, -18, 7, -2}, {-2, 8, -22, 94, 64, -19, 7, -2}, |
| {-2, 8, -22, 89, 69, -20, 8, -2}, {-2, 8, -21, 84, 74, -21, 8, -2}, |
| {-2, 8, -21, 79, 79, -21, 8, -2}, {-2, 8, -21, 74, 84, -21, 8, -2}, |
| {-2, 8, -20, 69, 89, -22, 8, -2}, {-2, 7, -19, 64, 94, -22, 8, -2}, |
| {-2, 7, -18, 59, 98, -22, 8, -2}, {-2, 7, -17, 54, 102, -21, 7, -2}, |
| {-2, 6, -16, 49, 106, -20, 7, -2}, {-2, 6, -15, 43, 110, -19, 7, -2}, |
| {-1, 5, -13, 38, 113, -18, 6, -2}, {-1, 5, -12, 33, 116, -17, 6, -2}, |
| {-1, 4, -10, 27, 119, -15, 5, -1}, {-1, 3, -8, 23, 121, -13, 4, -1}, |
| {-1, 3, -7, 18, 123, -11, 4, -1}, {-1, 2, -5, 13, 125, -8, 3, -1}, |
| { 0, 1, -3, 8, 126, -6, 2, 0}, { 0, 1, -2, 4, 127, -3, 1, 0}, |
| // [1, 2) |
| {0, 0, 0, 1, 127, 0, 0, 0}, {0, 0, 1, -3, 127, 4, -1, 0}, |
| {0, 0, 1, -5, 126, 8, -3, 1}, {0, 0, 1, -7, 124, 13, -4, 1}, |
| {0, 0, 2, -9, 122, 18, -6, 1}, {0, 0, 2, -11, 120, 22, -7, 2}, |
| {0, 0, 3, -13, 117, 27, -8, 2}, {0, 0, 3, -14, 114, 32, -10, 3}, |
| {0, 0, 3, -15, 111, 37, -11, 3}, {0, 0, 3, -16, 108, 42, -12, 3}, |
| {0, 0, 4, -17, 104, 47, -13, 3}, {0, 0, 4, -17, 100, 52, -14, 3}, |
| {0, 0, 4, -18, 96, 58, -15, 3}, {0, 0, 4, -18, 91, 63, -16, 4}, |
| {0, 0, 4, -18, 87, 68, -17, 4}, {0, 0, 4, -18, 82, 73, -17, 4}, |
| {0, 0, 4, -18, 78, 78, -18, 4}, {0, 0, 4, -17, 73, 82, -18, 4}, |
| {0, 0, 4, -17, 68, 87, -18, 4}, {0, 0, 4, -16, 63, 91, -18, 4}, |
| {0, 0, 3, -15, 58, 96, -18, 4}, {0, 0, 3, -14, 52, 100, -17, 4}, |
| {0, 0, 3, -13, 47, 104, -17, 4}, {0, 0, 3, -12, 42, 108, -16, 3}, |
| {0, 0, 3, -11, 37, 111, -15, 3}, {0, 0, 3, -10, 32, 114, -14, 3}, |
| {0, 0, 2, -8, 27, 117, -13, 3}, {0, 0, 2, -7, 22, 120, -11, 2}, |
| {0, 0, 1, -6, 18, 122, -9, 2}, {0, 0, 1, -4, 13, 124, -7, 1}, |
| {0, 0, 1, -3, 8, 126, -5, 1}, {0, 0, 0, -1, 4, 127, -3, 1}, |
| // dummy (replicate row index 95) |
| {0, 0, 0, -1, 4, 127, -3, 1}, |
| |
| #endif // WARPEDPIXEL_PREC_BITS == 6 |
| }; |
| |
| /* clang-format on */ |
| |
| #define DIV_LUT_PREC_BITS 14 |
| #define DIV_LUT_BITS 8 |
| #define DIV_LUT_NUM (1 << DIV_LUT_BITS) |
| |
| static const uint16_t div_lut[DIV_LUT_NUM + 1] = { |
| 16384, 16320, 16257, 16194, 16132, 16070, 16009, 15948, 15888, 15828, 15768, |
| 15709, 15650, 15592, 15534, 15477, 15420, 15364, 15308, 15252, 15197, 15142, |
| 15087, 15033, 14980, 14926, 14873, 14821, 14769, 14717, 14665, 14614, 14564, |
| 14513, 14463, 14413, 14364, 14315, 14266, 14218, 14170, 14122, 14075, 14028, |
| 13981, 13935, 13888, 13843, 13797, 13752, 13707, 13662, 13618, 13574, 13530, |
| 13487, 13443, 13400, 13358, 13315, 13273, 13231, 13190, 13148, 13107, 13066, |
| 13026, 12985, 12945, 12906, 12866, 12827, 12788, 12749, 12710, 12672, 12633, |
| 12596, 12558, 12520, 12483, 12446, 12409, 12373, 12336, 12300, 12264, 12228, |
| 12193, 12157, 12122, 12087, 12053, 12018, 11984, 11950, 11916, 11882, 11848, |
| 11815, 11782, 11749, 11716, 11683, 11651, 11619, 11586, 11555, 11523, 11491, |
| 11460, 11429, 11398, 11367, 11336, 11305, 11275, 11245, 11215, 11185, 11155, |
| 11125, 11096, 11067, 11038, 11009, 10980, 10951, 10923, 10894, 10866, 10838, |
| 10810, 10782, 10755, 10727, 10700, 10673, 10645, 10618, 10592, 10565, 10538, |
| 10512, 10486, 10460, 10434, 10408, 10382, 10356, 10331, 10305, 10280, 10255, |
| 10230, 10205, 10180, 10156, 10131, 10107, 10082, 10058, 10034, 10010, 9986, |
| 9963, 9939, 9916, 9892, 9869, 9846, 9823, 9800, 9777, 9754, 9732, |
| 9709, 9687, 9664, 9642, 9620, 9598, 9576, 9554, 9533, 9511, 9489, |
| 9468, 9447, 9425, 9404, 9383, 9362, 9341, 9321, 9300, 9279, 9259, |
| 9239, 9218, 9198, 9178, 9158, 9138, 9118, 9098, 9079, 9059, 9039, |
| 9020, 9001, 8981, 8962, 8943, 8924, 8905, 8886, 8867, 8849, 8830, |
| 8812, 8793, 8775, 8756, 8738, 8720, 8702, 8684, 8666, 8648, 8630, |
| 8613, 8595, 8577, 8560, 8542, 8525, 8508, 8490, 8473, 8456, 8439, |
| 8422, 8405, 8389, 8372, 8355, 8339, 8322, 8306, 8289, 8273, 8257, |
| 8240, 8224, 8208, 8192, |
| }; |
| |
| // Decomposes a divisor D such that 1/D = y/2^shift, where y is returned |
| // at precision of DIV_LUT_PREC_BITS along with the shift. |
| static int16_t resolve_divisor_64(uint64_t D, int16_t *shift) { |
| int64_t f; |
| *shift = (int16_t)((D >> 32) ? get_msb((unsigned int)(D >> 32)) + 32 |
| : get_msb((unsigned int)D)); |
| // e is obtained from D after resetting the most significant 1 bit. |
| const int64_t e = D - ((uint64_t)1 << *shift); |
| // Get the most significant DIV_LUT_BITS (8) bits of e into f |
| if (*shift > DIV_LUT_BITS) |
| f = ROUND_POWER_OF_TWO_64(e, *shift - DIV_LUT_BITS); |
| else |
| f = e << (DIV_LUT_BITS - *shift); |
| assert(f <= DIV_LUT_NUM); |
| *shift += DIV_LUT_PREC_BITS; |
| // Use f as lookup into the precomputed table of multipliers |
| return div_lut[f]; |
| } |
| |
| static int16_t resolve_divisor_32(uint32_t D, int16_t *shift) { |
| int32_t f; |
| *shift = get_msb(D); |
| // e is obtained from D after resetting the most significant 1 bit. |
| const int32_t e = D - ((uint32_t)1 << *shift); |
| // Get the most significant DIV_LUT_BITS (8) bits of e into f |
| if (*shift > DIV_LUT_BITS) |
| f = ROUND_POWER_OF_TWO(e, *shift - DIV_LUT_BITS); |
| else |
| f = e << (DIV_LUT_BITS - *shift); |
| assert(f <= DIV_LUT_NUM); |
| *shift += DIV_LUT_PREC_BITS; |
| // Use f as lookup into the precomputed table of multipliers |
| return div_lut[f]; |
| } |
| |
| static int is_affine_valid(const WarpedMotionParams *const wm) { |
| const int32_t *mat = wm->wmmat; |
| return (mat[2] > 0); |
| } |
| |
| static int is_affine_shear_allowed(int16_t alpha, int16_t beta, int16_t gamma, |
| int16_t delta) { |
| if ((4 * abs(alpha) + 7 * abs(beta) >= (1 << WARPEDMODEL_PREC_BITS)) || |
| (4 * abs(gamma) + 4 * abs(delta) >= (1 << WARPEDMODEL_PREC_BITS))) |
| return 0; |
| else |
| return 1; |
| } |
| |
| // Returns 1 on success or 0 on an invalid affine set |
| int av1_get_shear_params(WarpedMotionParams *wm) { |
| const int32_t *mat = wm->wmmat; |
| if (!is_affine_valid(wm)) return 0; |
| wm->alpha = |
| clamp(mat[2] - (1 << WARPEDMODEL_PREC_BITS), INT16_MIN, INT16_MAX); |
| wm->beta = clamp(mat[3], INT16_MIN, INT16_MAX); |
| int16_t shift; |
| int16_t y = resolve_divisor_32(abs(mat[2]), &shift) * (mat[2] < 0 ? -1 : 1); |
| int64_t v = ((int64_t)mat[4] * (1 << WARPEDMODEL_PREC_BITS)) * y; |
| wm->gamma = |
| clamp((int)ROUND_POWER_OF_TWO_SIGNED_64(v, shift), INT16_MIN, INT16_MAX); |
| v = ((int64_t)mat[3] * mat[4]) * y; |
| wm->delta = clamp(mat[5] - (int)ROUND_POWER_OF_TWO_SIGNED_64(v, shift) - |
| (1 << WARPEDMODEL_PREC_BITS), |
| INT16_MIN, INT16_MAX); |
| |
| wm->alpha = ROUND_POWER_OF_TWO_SIGNED(wm->alpha, WARP_PARAM_REDUCE_BITS) * |
| (1 << WARP_PARAM_REDUCE_BITS); |
| wm->beta = ROUND_POWER_OF_TWO_SIGNED(wm->beta, WARP_PARAM_REDUCE_BITS) * |
| (1 << WARP_PARAM_REDUCE_BITS); |
| wm->gamma = ROUND_POWER_OF_TWO_SIGNED(wm->gamma, WARP_PARAM_REDUCE_BITS) * |
| (1 << WARP_PARAM_REDUCE_BITS); |
| wm->delta = ROUND_POWER_OF_TWO_SIGNED(wm->delta, WARP_PARAM_REDUCE_BITS) * |
| (1 << WARP_PARAM_REDUCE_BITS); |
| |
| if (!is_affine_shear_allowed(wm->alpha, wm->beta, wm->gamma, wm->delta)) |
| return 0; |
| |
| return 1; |
| } |
| |
| static INLINE int highbd_error_measure(int err, int bd) { |
| const int b = bd - 8; |
| const int bmask = (1 << b) - 1; |
| const int v = (1 << b); |
| err = abs(err); |
| const int e1 = err >> b; |
| const int e2 = err & bmask; |
| return error_measure_lut[255 + e1] * (v - e2) + |
| error_measure_lut[256 + e1] * e2; |
| } |
| |
| /* Note: For an explanation of the warp algorithm, and some notes on bit widths |
| for hardware implementations, see the comments above av1_warp_affine_c |
| */ |
| void av1_highbd_warp_affine_c(const int32_t *mat, const uint16_t *ref, |
| int width, int height, int stride, uint16_t *pred, |
| int p_col, int p_row, int p_width, int p_height, |
| int p_stride, int subsampling_x, |
| int subsampling_y, int bd, |
| ConvolveParams *conv_params, int16_t alpha, |
| int16_t beta, int16_t gamma, int16_t delta) { |
| int32_t tmp[15 * 8]; |
| const int reduce_bits_horiz = |
| conv_params->round_0 + |
| AOMMAX(bd + FILTER_BITS - conv_params->round_0 - 14, 0); |
| const int reduce_bits_vert = conv_params->is_compound |
| ? conv_params->round_1 |
| : 2 * FILTER_BITS - reduce_bits_horiz; |
| const int max_bits_horiz = bd + FILTER_BITS + 1 - reduce_bits_horiz; |
| const int offset_bits_horiz = bd + FILTER_BITS - 1; |
| const int offset_bits_vert = bd + 2 * FILTER_BITS - reduce_bits_horiz; |
| const int round_bits = |
| 2 * FILTER_BITS - conv_params->round_0 - conv_params->round_1; |
| const int offset_bits = bd + 2 * FILTER_BITS - conv_params->round_0; |
| (void)max_bits_horiz; |
| assert(IMPLIES(conv_params->is_compound, conv_params->dst != NULL)); |
| |
| for (int i = p_row; i < p_row + p_height; i += 8) { |
| for (int j = p_col; j < p_col + p_width; j += 8) { |
| // Calculate the center of this 8x8 block, |
| // project to luma coordinates (if in a subsampled chroma plane), |
| // apply the affine transformation, |
| // then convert back to the original coordinates (if necessary) |
| const int32_t src_x = (j + 4) << subsampling_x; |
| const int32_t src_y = (i + 4) << subsampling_y; |
| const int32_t dst_x = mat[2] * src_x + mat[3] * src_y + mat[0]; |
| const int32_t dst_y = mat[4] * src_x + mat[5] * src_y + mat[1]; |
| const int32_t x4 = dst_x >> subsampling_x; |
| const int32_t y4 = dst_y >> subsampling_y; |
| |
| const int32_t ix4 = x4 >> WARPEDMODEL_PREC_BITS; |
| int32_t sx4 = x4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); |
| const int32_t iy4 = y4 >> WARPEDMODEL_PREC_BITS; |
| int32_t sy4 = y4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); |
| |
| sx4 += alpha * (-4) + beta * (-4); |
| sy4 += gamma * (-4) + delta * (-4); |
| |
| sx4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); |
| sy4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); |
| |
| // Horizontal filter |
| for (int k = -7; k < 8; ++k) { |
| const int iy = clamp(iy4 + k, 0, height - 1); |
| |
| int sx = sx4 + beta * (k + 4); |
| for (int l = -4; l < 4; ++l) { |
| int ix = ix4 + l - 3; |
| const int offs = ROUND_POWER_OF_TWO(sx, WARPEDDIFF_PREC_BITS) + |
| WARPEDPIXEL_PREC_SHIFTS; |
| assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); |
| const int16_t *coeffs = av1_warped_filter[offs]; |
| |
| int32_t sum = 1 << offset_bits_horiz; |
| for (int m = 0; m < 8; ++m) { |
| const int sample_x = clamp(ix + m, 0, width - 1); |
| sum += ref[iy * stride + sample_x] * coeffs[m]; |
| } |
| sum = ROUND_POWER_OF_TWO(sum, reduce_bits_horiz); |
| assert(0 <= sum && sum < (1 << max_bits_horiz)); |
| tmp[(k + 7) * 8 + (l + 4)] = sum; |
| sx += alpha; |
| } |
| } |
| |
| // Vertical filter |
| for (int k = -4; k < AOMMIN(4, p_row + p_height - i - 4); ++k) { |
| int sy = sy4 + delta * (k + 4); |
| for (int l = -4; l < AOMMIN(4, p_col + p_width - j - 4); ++l) { |
| const int offs = ROUND_POWER_OF_TWO(sy, WARPEDDIFF_PREC_BITS) + |
| WARPEDPIXEL_PREC_SHIFTS; |
| assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); |
| const int16_t *coeffs = av1_warped_filter[offs]; |
| |
| int32_t sum = 1 << offset_bits_vert; |
| for (int m = 0; m < 8; ++m) { |
| sum += tmp[(k + m + 4) * 8 + (l + 4)] * coeffs[m]; |
| } |
| |
| if (conv_params->is_compound) { |
| CONV_BUF_TYPE *p = |
| &conv_params |
| ->dst[(i - p_row + k + 4) * conv_params->dst_stride + |
| (j - p_col + l + 4)]; |
| sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); |
| if (conv_params->do_average) { |
| uint16_t *dst16 = |
| &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; |
| int32_t tmp32 = *p; |
| if (conv_params->use_dist_wtd_comp_avg) { |
| tmp32 = tmp32 * conv_params->fwd_offset + |
| sum * conv_params->bck_offset; |
| tmp32 = tmp32 >> DIST_PRECISION_BITS; |
| } else { |
| tmp32 += sum; |
| tmp32 = tmp32 >> 1; |
| } |
| tmp32 = tmp32 - (1 << (offset_bits - conv_params->round_1)) - |
| (1 << (offset_bits - conv_params->round_1 - 1)); |
| *dst16 = |
| clip_pixel_highbd(ROUND_POWER_OF_TWO(tmp32, round_bits), bd); |
| } else { |
| *p = sum; |
| } |
| } else { |
| uint16_t *p = |
| &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; |
| sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); |
| assert(0 <= sum && sum < (1 << (bd + 2))); |
| *p = clip_pixel_highbd(sum - (1 << (bd - 1)) - (1 << bd), bd); |
| } |
| sy += gamma; |
| } |
| } |
| } |
| } |
| } |
| |
| static void highbd_warp_plane(WarpedMotionParams *wm, const uint16_t *const ref, |
| int width, int height, int stride, |
| uint16_t *const pred, int p_col, int p_row, |
| int p_width, int p_height, int p_stride, |
| int subsampling_x, int subsampling_y, int bd, |
| ConvolveParams *conv_params) { |
| assert(wm->wmtype <= AFFINE); |
| if (wm->wmtype == ROTZOOM) { |
| wm->wmmat[5] = wm->wmmat[2]; |
| wm->wmmat[4] = -wm->wmmat[3]; |
| } |
| const int32_t *const mat = wm->wmmat; |
| const int16_t alpha = wm->alpha; |
| const int16_t beta = wm->beta; |
| const int16_t gamma = wm->gamma; |
| const int16_t delta = wm->delta; |
| |
| av1_highbd_warp_affine(mat, ref, width, height, stride, pred, p_col, p_row, |
| p_width, p_height, p_stride, subsampling_x, |
| subsampling_y, bd, conv_params, alpha, beta, gamma, |
| delta); |
| } |
| |
| static int64_t av1_calc_highbd_frame_error(const uint16_t *const ref, |
| int stride, |
| const uint16_t *const dst, |
| int p_width, int p_height, |
| int p_stride, int bd) { |
| int64_t sum_error = 0; |
| for (int i = 0; i < p_height; ++i) { |
| for (int j = 0; j < p_width; ++j) { |
| sum_error += |
| highbd_error_measure(dst[j + i * p_stride] - ref[j + i * stride], bd); |
| } |
| } |
| return sum_error; |
| } |
| |
| static int64_t highbd_segmented_frame_error( |
| const uint16_t *const ref, int stride, const uint16_t *const dst, |
| int p_width, int p_height, int p_stride, int bd, uint8_t *segment_map, |
| int segment_map_stride) { |
| int patch_w, patch_h; |
| const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK); |
| const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK); |
| int64_t sum_error = 0; |
| for (int i = 0; i < p_height; i += WARP_ERROR_BLOCK) { |
| for (int j = 0; j < p_width; j += WARP_ERROR_BLOCK) { |
| int seg_x = j >> WARP_ERROR_BLOCK_LOG; |
| int seg_y = i >> WARP_ERROR_BLOCK_LOG; |
| // Only compute the error if this block contains inliers from the motion |
| // model |
| if (!segment_map[seg_y * segment_map_stride + seg_x]) continue; |
| |
| // avoid computing error into the frame padding |
| patch_w = AOMMIN(error_bsize_w, p_width - j); |
| patch_h = AOMMIN(error_bsize_h, p_height - i); |
| sum_error += av1_calc_highbd_frame_error(ref + j + i * stride, stride, |
| dst + j + i * p_stride, patch_w, |
| patch_h, p_stride, bd); |
| } |
| } |
| return sum_error; |
| } |
| |
| static int64_t highbd_warp_error( |
| WarpedMotionParams *wm, const uint16_t *const ref, int width, int height, |
| int stride, const uint16_t *const dst, int p_col, int p_row, int p_width, |
| int p_height, int p_stride, int subsampling_x, int subsampling_y, int bd, |
| int64_t best_error, uint8_t *segment_map, int segment_map_stride) { |
| int64_t gm_sumerr = 0; |
| const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK); |
| const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK); |
| uint16_t tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK]; |
| |
| ConvolveParams conv_params = get_conv_params(0, 0, bd); |
| conv_params.use_dist_wtd_comp_avg = 0; |
| for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) { |
| for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) { |
| int seg_x = j >> WARP_ERROR_BLOCK_LOG; |
| int seg_y = i >> WARP_ERROR_BLOCK_LOG; |
| // Only compute the error if this block contains inliers from the motion |
| // model |
| if (!segment_map[seg_y * segment_map_stride + seg_x]) continue; |
| // avoid warping extra 8x8 blocks in the padded region of the frame |
| // when p_width and p_height are not multiples of WARP_ERROR_BLOCK |
| const int warp_w = AOMMIN(error_bsize_w, p_col + p_width - j); |
| const int warp_h = AOMMIN(error_bsize_h, p_row + p_height - i); |
| highbd_warp_plane(wm, ref, width, height, stride, tmp, j, i, warp_w, |
| warp_h, WARP_ERROR_BLOCK, subsampling_x, subsampling_y, |
| bd, &conv_params); |
| gm_sumerr += av1_calc_highbd_frame_error(tmp, WARP_ERROR_BLOCK, |
| dst + j + i * p_stride, warp_w, |
| warp_h, p_stride, bd); |
| if (gm_sumerr > best_error) return gm_sumerr; |
| } |
| } |
| return gm_sumerr; |
| } |
| |
| /* The warp filter for ROTZOOM and AFFINE models works as follows: |
| * Split the input into 8x8 blocks |
| * For each block, project the point (4, 4) within the block, to get the |
| overall block position. Split into integer and fractional coordinates, |
| maintaining full WARPEDMODEL precision |
| * Filter horizontally: Generate 15 rows of 8 pixels each. Each pixel gets a |
| variable horizontal offset. This means that, while the rows of the |
| intermediate buffer align with the rows of the *reference* image, the |
| columns align with the columns of the *destination* image. |
| * Filter vertically: Generate the output block (up to 8x8 pixels, but if the |
| destination is too small we crop the output at this stage). Each pixel has |
| a variable vertical offset, so that the resulting rows are aligned with |
| the rows of the destination image. |
| |
| To accomplish these alignments, we factor the warp matrix as a |
| product of two shear / asymmetric zoom matrices: |
| / a b \ = / 1 0 \ * / 1+alpha beta \ |
| \ c d / \ gamma 1+delta / \ 0 1 / |
| where a, b, c, d are wmmat[2], wmmat[3], wmmat[4], wmmat[5] respectively. |
| The horizontal shear (with alpha and beta) is applied first, |
| then the vertical shear (with gamma and delta) is applied second. |
| |
| The only limitation is that, to fit this in a fixed 8-tap filter size, |
| the fractional pixel offsets must be at most +-1. Since the horizontal filter |
| generates 15 rows of 8 columns, and the initial point we project is at (4, 4) |
| within the block, the parameters must satisfy |
| 4 * |alpha| + 7 * |beta| <= 1 and 4 * |gamma| + 4 * |delta| <= 1 |
| for this filter to be applicable. |
| |
| Note: This function assumes that the caller has done all of the relevant |
| checks, ie. that we have a ROTZOOM or AFFINE model, that wm[4] and wm[5] |
| are set appropriately (if using a ROTZOOM model), and that alpha, beta, |
| gamma, delta are all in range. |
| |
| TODO(david.barker): Maybe support scaled references? |
| */ |
| /* A note on hardware implementation: |
| The warp filter is intended to be implementable using the same hardware as |
| the high-precision convolve filters from the loop-restoration and |
| convolve-round experiments. |
| |
| For a single filter stage, considering all of the coefficient sets for the |
| warp filter and the regular convolution filter, an input in the range |
| [0, 2^k - 1] is mapped into the range [-56 * (2^k - 1), 184 * (2^k - 1)] |
| before rounding. |
| |
| Allowing for some changes to the filter coefficient sets, call the range |
| [-64 * 2^k, 192 * 2^k]. Then, if we initialize the accumulator to 64 * 2^k, |
| we can replace this by the range [0, 256 * 2^k], which can be stored in an |
| unsigned value with 8 + k bits. |
| |
| This allows the derivation of the appropriate bit widths and offsets for |
| the various intermediate values: If |
| |
| F := FILTER_BITS = 7 (or else the above ranges need adjusting) |
| So a *single* filter stage maps a k-bit input to a (k + F + 1)-bit |
| intermediate value. |
| H := ROUND0_BITS |
| V := VERSHEAR_REDUCE_PREC_BITS |
| (and note that we must have H + V = 2*F for the output to have the same |
| scale as the input) |
| |
| then we end up with the following offsets and ranges: |
| Horizontal filter: Apply an offset of 1 << (bd + F - 1), sum fits into a |
| uint{bd + F + 1} |
| After rounding: The values stored in 'tmp' fit into a uint{bd + F + 1 - H}. |
| Vertical filter: Apply an offset of 1 << (bd + 2*F - H), sum fits into a |
| uint{bd + 2*F + 2 - H} |
| After rounding: The final value, before undoing the offset, fits into a |
| uint{bd + 2}. |
| |
| Then we need to undo the offsets before clamping to a pixel. Note that, |
| if we do this at the end, the amount to subtract is actually independent |
| of H and V: |
| |
| offset to subtract = (1 << ((bd + F - 1) - H + F - V)) + |
| (1 << ((bd + 2*F - H) - V)) |
| == (1 << (bd - 1)) + (1 << bd) |
| |
| This allows us to entirely avoid clamping in both the warp filter and |
| the convolve-round experiment. As of the time of writing, the Wiener filter |
| from loop-restoration can encode a central coefficient up to 216, which |
| leads to a maximum value of about 282 * 2^k after applying the offset. |
| So in that case we still need to clamp. |
| */ |
| void av1_warp_affine_c(const int32_t *mat, const uint8_t *ref, int width, |
| int height, int stride, uint8_t *pred, int p_col, |
| int p_row, int p_width, int p_height, int p_stride, |
| int subsampling_x, int subsampling_y, |
| ConvolveParams *conv_params, int16_t alpha, int16_t beta, |
| int16_t gamma, int16_t delta) { |
| int32_t tmp[15 * 8]; |
| const int bd = 8; |
| const int reduce_bits_horiz = conv_params->round_0; |
| const int reduce_bits_vert = conv_params->is_compound |
| ? conv_params->round_1 |
| : 2 * FILTER_BITS - reduce_bits_horiz; |
| const int max_bits_horiz = bd + FILTER_BITS + 1 - reduce_bits_horiz; |
| const int offset_bits_horiz = bd + FILTER_BITS - 1; |
| const int offset_bits_vert = bd + 2 * FILTER_BITS - reduce_bits_horiz; |
| const int round_bits = |
| 2 * FILTER_BITS - conv_params->round_0 - conv_params->round_1; |
| const int offset_bits = bd + 2 * FILTER_BITS - conv_params->round_0; |
| (void)max_bits_horiz; |
| assert(IMPLIES(conv_params->is_compound, conv_params->dst != NULL)); |
| assert(IMPLIES(conv_params->do_average, conv_params->is_compound)); |
| |
| for (int i = p_row; i < p_row + p_height; i += 8) { |
| for (int j = p_col; j < p_col + p_width; j += 8) { |
| // Calculate the center of this 8x8 block, |
| // project to luma coordinates (if in a subsampled chroma plane), |
| // apply the affine transformation, |
| // then convert back to the original coordinates (if necessary) |
| const int32_t src_x = (j + 4) << subsampling_x; |
| const int32_t src_y = (i + 4) << subsampling_y; |
| const int32_t dst_x = mat[2] * src_x + mat[3] * src_y + mat[0]; |
| const int32_t dst_y = mat[4] * src_x + mat[5] * src_y + mat[1]; |
| const int32_t x4 = dst_x >> subsampling_x; |
| const int32_t y4 = dst_y >> subsampling_y; |
| |
| int32_t ix4 = x4 >> WARPEDMODEL_PREC_BITS; |
| int32_t sx4 = x4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); |
| int32_t iy4 = y4 >> WARPEDMODEL_PREC_BITS; |
| int32_t sy4 = y4 & ((1 << WARPEDMODEL_PREC_BITS) - 1); |
| |
| sx4 += alpha * (-4) + beta * (-4); |
| sy4 += gamma * (-4) + delta * (-4); |
| |
| sx4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); |
| sy4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1); |
| |
| // Horizontal filter |
| for (int k = -7; k < 8; ++k) { |
| // Clamp to top/bottom edge of the frame |
| const int iy = clamp(iy4 + k, 0, height - 1); |
| |
| int sx = sx4 + beta * (k + 4); |
| |
| for (int l = -4; l < 4; ++l) { |
| int ix = ix4 + l - 3; |
| // At this point, sx = sx4 + alpha * l + beta * k |
| const int offs = ROUND_POWER_OF_TWO(sx, WARPEDDIFF_PREC_BITS) + |
| WARPEDPIXEL_PREC_SHIFTS; |
| assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); |
| const int16_t *coeffs = av1_warped_filter[offs]; |
| |
| int32_t sum = 1 << offset_bits_horiz; |
| for (int m = 0; m < 8; ++m) { |
| // Clamp to left/right edge of the frame |
| const int sample_x = clamp(ix + m, 0, width - 1); |
| |
| sum += ref[iy * stride + sample_x] * coeffs[m]; |
| } |
| sum = ROUND_POWER_OF_TWO(sum, reduce_bits_horiz); |
| assert(0 <= sum && sum < (1 << max_bits_horiz)); |
| tmp[(k + 7) * 8 + (l + 4)] = sum; |
| sx += alpha; |
| } |
| } |
| |
| // Vertical filter |
| for (int k = -4; k < AOMMIN(4, p_row + p_height - i - 4); ++k) { |
| int sy = sy4 + delta * (k + 4); |
| for (int l = -4; l < AOMMIN(4, p_col + p_width - j - 4); ++l) { |
| // At this point, sy = sy4 + gamma * l + delta * k |
| const int offs = ROUND_POWER_OF_TWO(sy, WARPEDDIFF_PREC_BITS) + |
| WARPEDPIXEL_PREC_SHIFTS; |
| assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3); |
| const int16_t *coeffs = av1_warped_filter[offs]; |
| |
| int32_t sum = 1 << offset_bits_vert; |
| for (int m = 0; m < 8; ++m) { |
| sum += tmp[(k + m + 4) * 8 + (l + 4)] * coeffs[m]; |
| } |
| |
| if (conv_params->is_compound) { |
| CONV_BUF_TYPE *p = |
| &conv_params |
| ->dst[(i - p_row + k + 4) * conv_params->dst_stride + |
| (j - p_col + l + 4)]; |
| sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); |
| if (conv_params->do_average) { |
| uint8_t *dst8 = |
| &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; |
| int32_t tmp32 = *p; |
| if (conv_params->use_dist_wtd_comp_avg) { |
| tmp32 = tmp32 * conv_params->fwd_offset + |
| sum * conv_params->bck_offset; |
| tmp32 = tmp32 >> DIST_PRECISION_BITS; |
| } else { |
| tmp32 += sum; |
| tmp32 = tmp32 >> 1; |
| } |
| tmp32 = tmp32 - (1 << (offset_bits - conv_params->round_1)) - |
| (1 << (offset_bits - conv_params->round_1 - 1)); |
| *dst8 = clip_pixel(ROUND_POWER_OF_TWO(tmp32, round_bits)); |
| } else { |
| *p = sum; |
| } |
| } else { |
| uint8_t *p = |
| &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)]; |
| sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert); |
| assert(0 <= sum && sum < (1 << (bd + 2))); |
| *p = clip_pixel(sum - (1 << (bd - 1)) - (1 << bd)); |
| } |
| sy += gamma; |
| } |
| } |
| } |
| } |
| } |
| |
| static void warp_plane(WarpedMotionParams *wm, const uint8_t *const ref, |
| int width, int height, int stride, uint8_t *pred, |
| int p_col, int p_row, int p_width, int p_height, |
| int p_stride, int subsampling_x, int subsampling_y, |
| ConvolveParams *conv_params) { |
| assert(wm->wmtype <= AFFINE); |
| if (wm->wmtype == ROTZOOM) { |
| wm->wmmat[5] = wm->wmmat[2]; |
| wm->wmmat[4] = -wm->wmmat[3]; |
| } |
| const int32_t *const mat = wm->wmmat; |
| const int16_t alpha = wm->alpha; |
| const int16_t beta = wm->beta; |
| const int16_t gamma = wm->gamma; |
| const int16_t delta = wm->delta; |
| av1_warp_affine(mat, ref, width, height, stride, pred, p_col, p_row, p_width, |
| p_height, p_stride, subsampling_x, subsampling_y, conv_params, |
| alpha, beta, gamma, delta); |
| } |
| |
| int64_t av1_calc_frame_error_c(const uint8_t *const ref, int stride, |
| const uint8_t *const dst, int p_width, |
| int p_height, int p_stride) { |
| int64_t sum_error = 0; |
| for (int i = 0; i < p_height; ++i) { |
| for (int j = 0; j < p_width; ++j) { |
| sum_error += |
| (int64_t)error_measure(dst[j + i * p_stride] - ref[j + i * stride]); |
| } |
| } |
| return sum_error; |
| } |
| |
| static int64_t segmented_frame_error(const uint8_t *const ref, int stride, |
| const uint8_t *const dst, int p_width, |
| int p_height, int p_stride, |
| uint8_t *segment_map, |
| int segment_map_stride) { |
| int patch_w, patch_h; |
| const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK); |
| const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK); |
| int64_t sum_error = 0; |
| for (int i = 0; i < p_height; i += WARP_ERROR_BLOCK) { |
| for (int j = 0; j < p_width; j += WARP_ERROR_BLOCK) { |
| int seg_x = j >> WARP_ERROR_BLOCK_LOG; |
| int seg_y = i >> WARP_ERROR_BLOCK_LOG; |
| // Only compute the error if this block contains inliers from the motion |
| // model |
| if (!segment_map[seg_y * segment_map_stride + seg_x]) continue; |
| |
| // avoid computing error into the frame padding |
| patch_w = AOMMIN(error_bsize_w, p_width - j); |
| patch_h = AOMMIN(error_bsize_h, p_height - i); |
| sum_error += av1_calc_frame_error(ref + j + i * stride, stride, |
| dst + j + i * p_stride, patch_w, |
| patch_h, p_stride); |
| } |
| } |
| return sum_error; |
| } |
| |
| static int64_t warp_error(WarpedMotionParams *wm, const uint8_t *const ref, |
| int width, int height, int stride, |
| const uint8_t *const dst, int p_col, int p_row, |
| int p_width, int p_height, int p_stride, |
| int subsampling_x, int subsampling_y, |
| int64_t best_error, uint8_t *segment_map, |
| int segment_map_stride) { |
| int64_t gm_sumerr = 0; |
| int warp_w, warp_h; |
| const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK); |
| const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK); |
| DECLARE_ALIGNED(16, uint8_t, tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK]); |
| ConvolveParams conv_params = get_conv_params(0, 0, 8); |
| conv_params.use_dist_wtd_comp_avg = 0; |
| |
| for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) { |
| for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) { |
| int seg_x = j >> WARP_ERROR_BLOCK_LOG; |
| int seg_y = i >> WARP_ERROR_BLOCK_LOG; |
| // Only compute the error if this block contains inliers from the motion |
| // model |
| if (!segment_map[seg_y * segment_map_stride + seg_x]) continue; |
| // avoid warping extra 8x8 blocks in the padded region of the frame |
| // when p_width and p_height are not multiples of WARP_ERROR_BLOCK |
| warp_w = AOMMIN(error_bsize_w, p_col + p_width - j); |
| warp_h = AOMMIN(error_bsize_h, p_row + p_height - i); |
| warp_plane(wm, ref, width, height, stride, tmp, j, i, warp_w, warp_h, |
| WARP_ERROR_BLOCK, subsampling_x, subsampling_y, &conv_params); |
| |
| gm_sumerr += |
| av1_calc_frame_error(tmp, WARP_ERROR_BLOCK, dst + j + i * p_stride, |
| warp_w, warp_h, p_stride); |
| if (gm_sumerr > best_error) return gm_sumerr; |
| } |
| } |
| return gm_sumerr; |
| } |
| |
| int64_t av1_frame_error(int use_hbd, int bd, const uint8_t *ref, int stride, |
| uint8_t *dst, int p_width, int p_height, int p_stride) { |
| if (use_hbd) { |
| return av1_calc_highbd_frame_error(CONVERT_TO_SHORTPTR(ref), stride, |
| CONVERT_TO_SHORTPTR(dst), p_width, |
| p_height, p_stride, bd); |
| } |
| return av1_calc_frame_error(ref, stride, dst, p_width, p_height, p_stride); |
| } |
| |
| int64_t av1_segmented_frame_error(int use_hbd, int bd, const uint8_t *ref, |
| int stride, uint8_t *dst, int p_width, |
| int p_height, int p_stride, |
| uint8_t *segment_map, |
| int segment_map_stride) { |
| if (use_hbd) { |
| return highbd_segmented_frame_error( |
| CONVERT_TO_SHORTPTR(ref), stride, CONVERT_TO_SHORTPTR(dst), p_width, |
| p_height, p_stride, bd, segment_map, segment_map_stride); |
| } |
| return segmented_frame_error(ref, stride, dst, p_width, p_height, p_stride, |
| segment_map, segment_map_stride); |
| } |
| |
| int64_t av1_warp_error(WarpedMotionParams *wm, int use_hbd, int bd, |
| const uint8_t *ref, int width, int height, int stride, |
| uint8_t *dst, int p_col, int p_row, int p_width, |
| int p_height, int p_stride, int subsampling_x, |
| int subsampling_y, int64_t best_error, |
| uint8_t *segment_map, int segment_map_stride) { |
| if (wm->wmtype <= AFFINE) |
| if (!av1_get_shear_params(wm)) return 1; |
| if (use_hbd) |
| return highbd_warp_error(wm, CONVERT_TO_SHORTPTR(ref), width, height, |
| stride, CONVERT_TO_SHORTPTR(dst), p_col, p_row, |
| p_width, p_height, p_stride, subsampling_x, |
| subsampling_y, bd, best_error, segment_map, |
| segment_map_stride); |
| return warp_error(wm, ref, width, height, stride, dst, p_col, p_row, p_width, |
| p_height, p_stride, subsampling_x, subsampling_y, |
| best_error, segment_map, segment_map_stride); |
| } |
| |
| void av1_warp_plane(WarpedMotionParams *wm, int use_hbd, int bd, |
| const uint8_t *ref, int width, int height, int stride, |
| uint8_t *pred, int p_col, int p_row, int p_width, |
| int p_height, int p_stride, int subsampling_x, |
| int subsampling_y, ConvolveParams *conv_params) { |
| if (use_hbd) |
| highbd_warp_plane(wm, CONVERT_TO_SHORTPTR(ref), width, height, stride, |
| CONVERT_TO_SHORTPTR(pred), p_col, p_row, p_width, |
| p_height, p_stride, subsampling_x, subsampling_y, bd, |
| conv_params); |
| else |
| warp_plane(wm, ref, width, height, stride, pred, p_col, p_row, p_width, |
| p_height, p_stride, subsampling_x, subsampling_y, conv_params); |
| } |
| |
| #define LS_MV_MAX 256 // max mv in 1/8-pel |
| // Use LS_STEP = 8 so that 2 less bits needed for A, Bx, By. |
| #define LS_STEP 8 |
| |
| // Assuming LS_MV_MAX is < MAX_SB_SIZE * 8, |
| // the precision needed is: |
| // (MAX_SB_SIZE_LOG2 + 3) [for sx * sx magnitude] + |
| // (MAX_SB_SIZE_LOG2 + 4) [for sx * dx magnitude] + |
| // 1 [for sign] + |
| // LEAST_SQUARES_SAMPLES_MAX_BITS |
| // [for adding up to LEAST_SQUARES_SAMPLES_MAX samples] |
| // The value is 23 |
| #define LS_MAT_RANGE_BITS \ |
| ((MAX_SB_SIZE_LOG2 + 4) * 2 + LEAST_SQUARES_SAMPLES_MAX_BITS) |
| |
| // Bit-depth reduction from the full-range |
| #define LS_MAT_DOWN_BITS 2 |
| |
| // bits range of A, Bx and By after downshifting |
| #define LS_MAT_BITS (LS_MAT_RANGE_BITS - LS_MAT_DOWN_BITS) |
| #define LS_MAT_MIN (-(1 << (LS_MAT_BITS - 1))) |
| #define LS_MAT_MAX ((1 << (LS_MAT_BITS - 1)) - 1) |
| |
| // By setting LS_STEP = 8, the least 2 bits of every elements in A, Bx, By are |
| // 0. So, we can reduce LS_MAT_RANGE_BITS(2) bits here. |
| #define LS_SQUARE(a) \ |
| (((a) * (a)*4 + (a)*4 * LS_STEP + LS_STEP * LS_STEP * 2) >> \ |
| (2 + LS_MAT_DOWN_BITS)) |
| #define LS_PRODUCT1(a, b) \ |
| (((a) * (b)*4 + ((a) + (b)) * 2 * LS_STEP + LS_STEP * LS_STEP) >> \ |
| (2 + LS_MAT_DOWN_BITS)) |
| #define LS_PRODUCT2(a, b) \ |
| (((a) * (b)*4 + ((a) + (b)) * 2 * LS_STEP + LS_STEP * LS_STEP * 2) >> \ |
| (2 + LS_MAT_DOWN_BITS)) |
| |
| #define USE_LIMITED_PREC_MULT 0 |
| |
| #if USE_LIMITED_PREC_MULT |
| |
| #define MUL_PREC_BITS 16 |
| static uint16_t resolve_multiplier_64(uint64_t D, int16_t *shift) { |
| int msb = 0; |
| uint16_t mult = 0; |
| *shift = 0; |
| if (D != 0) { |
| msb = (int16_t)((D >> 32) ? get_msb((unsigned int)(D >> 32)) + 32 |
| : get_msb((unsigned int)D)); |
| if (msb >= MUL_PREC_BITS) { |
| mult = (uint16_t)ROUND_POWER_OF_TWO_64(D, msb + 1 - MUL_PREC_BITS); |
| *shift = msb + 1 - MUL_PREC_BITS; |
| } else { |
| mult = (uint16_t)D; |
| *shift = 0; |
| } |
| } |
| return mult; |
| } |
| |
| static int32_t get_mult_shift_ndiag(int64_t Px, int16_t iDet, int shift) { |
| int32_t ret; |
| int16_t mshift; |
| uint16_t Mul = resolve_multiplier_64(llabs(Px), &mshift); |
| int32_t v = (int32_t)Mul * (int32_t)iDet * (Px < 0 ? -1 : 1); |
| shift -= mshift; |
| if (shift > 0) { |
| return (int32_t)clamp(ROUND_POWER_OF_TWO_SIGNED(v, shift), |
| -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, |
| WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); |
| } else { |
| return (int32_t)clamp(v * (1 << (-shift)), |
| -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, |
| WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); |
| } |
| return ret; |
| } |
| |
| static int32_t get_mult_shift_diag(int64_t Px, int16_t iDet, int shift) { |
| int16_t mshift; |
| uint16_t Mul = resolve_multiplier_64(llabs(Px), &mshift); |
| int32_t v = (int32_t)Mul * (int32_t)iDet * (Px < 0 ? -1 : 1); |
| shift -= mshift; |
| if (shift > 0) { |
| return (int32_t)clamp( |
| ROUND_POWER_OF_TWO_SIGNED(v, shift), |
| (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, |
| (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); |
| } else { |
| return (int32_t)clamp( |
| v * (1 << (-shift)), |
| (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, |
| (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); |
| } |
| } |
| |
| #else |
| |
| static int32_t get_mult_shift_ndiag(int64_t Px, int16_t iDet, int shift) { |
| int64_t v = Px * (int64_t)iDet; |
| return (int32_t)clamp64(ROUND_POWER_OF_TWO_SIGNED_64(v, shift), |
| -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, |
| WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); |
| } |
| |
| static int32_t get_mult_shift_diag(int64_t Px, int16_t iDet, int shift) { |
| int64_t v = Px * (int64_t)iDet; |
| return (int32_t)clamp64( |
| ROUND_POWER_OF_TWO_SIGNED_64(v, shift), |
| (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1, |
| (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1); |
| } |
| #endif // USE_LIMITED_PREC_MULT |
| |
| static int find_affine_int(int np, const int *pts1, const int *pts2, |
| BLOCK_SIZE bsize, int mvy, int mvx, |
| WarpedMotionParams *wm, int mi_row, int mi_col) { |
| int32_t A[2][2] = { { 0, 0 }, { 0, 0 } }; |
| int32_t Bx[2] = { 0, 0 }; |
| int32_t By[2] = { 0, 0 }; |
| |
| const int bw = block_size_wide[bsize]; |
| const int bh = block_size_high[bsize]; |
| const int rsuy = bh / 2 - 1; |
| const int rsux = bw / 2 - 1; |
| const int suy = rsuy * 8; |
| const int sux = rsux * 8; |
| const int duy = suy + mvy; |
| const int dux = sux + mvx; |
| |
| // Assume the center pixel of the block has exactly the same motion vector |
| // as transmitted for the block. First shift the origin of the source |
| // points to the block center, and the origin of the destination points to |
| // the block center added to the motion vector transmitted. |
| // Let (xi, yi) denote the source points and (xi', yi') denote destination |
| // points after origin shfifting, for i = 0, 1, 2, .... n-1. |
| // Then if P = [x0, y0, |
| // x1, y1 |
| // x2, y1, |
| // .... |
| // ] |
| // q = [x0', x1', x2', ... ]' |
| // r = [y0', y1', y2', ... ]' |
| // the least squares problems that need to be solved are: |
| // [h1, h2]' = inv(P'P)P'q and |
| // [h3, h4]' = inv(P'P)P'r |
| // where the affine transformation is given by: |
| // x' = h1.x + h2.y |
| // y' = h3.x + h4.y |
| // |
| // The loop below computes: A = P'P, Bx = P'q, By = P'r |
| // We need to just compute inv(A).Bx and inv(A).By for the solutions. |
| // Contribution from neighbor block |
| for (int i = 0; i < np; i++) { |
| const int dx = pts2[i * 2] - dux; |
| const int dy = pts2[i * 2 + 1] - duy; |
| const int sx = pts1[i * 2] - sux; |
| const int sy = pts1[i * 2 + 1] - suy; |
| // (TODO)yunqing: This comparison wouldn't be necessary if the sample |
| // selection is done in find_samples(). Also, global offset can be removed |
| // while collecting samples. |
| if (abs(sx - dx) < LS_MV_MAX && abs(sy - dy) < LS_MV_MAX) { |
| A[0][0] += LS_SQUARE(sx); |
| A[0][1] += LS_PRODUCT1(sx, sy); |
| A[1][1] += LS_SQUARE(sy); |
| Bx[0] += LS_PRODUCT2(sx, dx); |
| Bx[1] += LS_PRODUCT1(sy, dx); |
| By[0] += LS_PRODUCT1(sx, dy); |
| By[1] += LS_PRODUCT2(sy, dy); |
| } |
| } |
| |
| // Just for debugging, and can be removed later. |
| assert(A[0][0] >= LS_MAT_MIN && A[0][0] <= LS_MAT_MAX); |
| assert(A[0][1] >= LS_MAT_MIN && A[0][1] <= LS_MAT_MAX); |
| assert(A[1][1] >= LS_MAT_MIN && A[1][1] <= LS_MAT_MAX); |
| assert(Bx[0] >= LS_MAT_MIN && Bx[0] <= LS_MAT_MAX); |
| assert(Bx[1] >= LS_MAT_MIN && Bx[1] <= LS_MAT_MAX); |
| assert(By[0] >= LS_MAT_MIN && By[0] <= LS_MAT_MAX); |
| assert(By[1] >= LS_MAT_MIN && By[1] <= LS_MAT_MAX); |
| |
| // Compute Determinant of A |
| const int64_t Det = (int64_t)A[0][0] * A[1][1] - (int64_t)A[0][1] * A[0][1]; |
| if (Det == 0) return 1; |
| |
| int16_t shift; |
| int16_t iDet = resolve_divisor_64(llabs(Det), &shift) * (Det < 0 ? -1 : 1); |
| shift -= WARPEDMODEL_PREC_BITS; |
| if (shift < 0) { |
| iDet <<= (-shift); |
| shift = 0; |
| } |
| |
| int64_t Px[2], Py[2]; |
| // These divided by the Det, are the least squares solutions |
| Px[0] = (int64_t)A[1][1] * Bx[0] - (int64_t)A[0][1] * Bx[1]; |
| Px[1] = -(int64_t)A[0][1] * Bx[0] + (int64_t)A[0][0] * Bx[1]; |
| Py[0] = (int64_t)A[1][1] * By[0] - (int64_t)A[0][1] * By[1]; |
| Py[1] = -(int64_t)A[0][1] * By[0] + (int64_t)A[0][0] * By[1]; |
| |
| wm->wmmat[2] = get_mult_shift_diag(Px[0], iDet, shift); |
| wm->wmmat[3] = get_mult_shift_ndiag(Px[1], iDet, shift); |
| wm->wmmat[4] = get_mult_shift_ndiag(Py[0], iDet, shift); |
| wm->wmmat[5] = get_mult_shift_diag(Py[1], iDet, shift); |
| |
| const int isuy = (mi_row * MI_SIZE + rsuy); |
| const int isux = (mi_col * MI_SIZE + rsux); |
| // Note: In the vx, vy expressions below, the max value of each of the |
| // 2nd and 3rd terms are (2^16 - 1) * (2^13 - 1). That leaves enough room |
| // for the first term so that the overall sum in the worst case fits |
| // within 32 bits overall. |
| const int32_t vx = mvx * (1 << (WARPEDMODEL_PREC_BITS - 3)) - |
| (isux * (wm->wmmat[2] - (1 << WARPEDMODEL_PREC_BITS)) + |
| isuy * wm->wmmat[3]); |
| const int32_t vy = mvy * (1 << (WARPEDMODEL_PREC_BITS - 3)) - |
| (isux * wm->wmmat[4] + |
| isuy * (wm->wmmat[5] - (1 << WARPEDMODEL_PREC_BITS))); |
| wm->wmmat[0] = |
| clamp(vx, -WARPEDMODEL_TRANS_CLAMP, WARPEDMODEL_TRANS_CLAMP - 1); |
| wm->wmmat[1] = |
| clamp(vy, -WARPEDMODEL_TRANS_CLAMP, WARPEDMODEL_TRANS_CLAMP - 1); |
| |
| wm->wmmat[6] = wm->wmmat[7] = 0; |
| return 0; |
| } |
| |
| int av1_find_projection(int np, int *pts1, int *pts2, BLOCK_SIZE bsize, int mvy, |
| int mvx, WarpedMotionParams *wm_params, int mi_row, |
| int mi_col) { |
| assert(wm_params->wmtype == AFFINE); |
| |
| if (find_affine_int(np, pts1, pts2, bsize, mvy, mvx, wm_params, mi_row, |
| mi_col)) |
| return 1; |
| |
| // check compatibility with the fast warp filter |
| if (!av1_get_shear_params(wm_params)) return 1; |
| |
| return 0; |
| } |
