/* * 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 #include #include "config/aom_dsp_rtcd.h" #include "config/av1_rtcd.h" #include "av1/common/cdef.h" /* This is Cdef_Directions (section 7.15.3) with 2 padding entries at the beginning and end of the table. The cdef direction range is [0, 7] and the first index is offset +/-2. This removes the need to constrain the first index to the same range using e.g., & 7. */ DECLARE_ALIGNED(16, const int, cdef_directions_padded[12][2]) = { /* Padding: cdef_directions[6] */ { 1 * CDEF_BSTRIDE + 0, 2 * CDEF_BSTRIDE + 0 }, /* Padding: cdef_directions[7] */ { 1 * CDEF_BSTRIDE + 0, 2 * CDEF_BSTRIDE - 1 }, /* Begin cdef_directions */ { -1 * CDEF_BSTRIDE + 1, -2 * CDEF_BSTRIDE + 2 }, { 0 * CDEF_BSTRIDE + 1, -1 * CDEF_BSTRIDE + 2 }, { 0 * CDEF_BSTRIDE + 1, 0 * CDEF_BSTRIDE + 2 }, { 0 * CDEF_BSTRIDE + 1, 1 * CDEF_BSTRIDE + 2 }, { 1 * CDEF_BSTRIDE + 1, 2 * CDEF_BSTRIDE + 2 }, { 1 * CDEF_BSTRIDE + 0, 2 * CDEF_BSTRIDE + 1 }, { 1 * CDEF_BSTRIDE + 0, 2 * CDEF_BSTRIDE + 0 }, { 1 * CDEF_BSTRIDE + 0, 2 * CDEF_BSTRIDE - 1 }, /* End cdef_directions */ /* Padding: cdef_directions[0] */ { -1 * CDEF_BSTRIDE + 1, -2 * CDEF_BSTRIDE + 2 }, /* Padding: cdef_directions[1] */ { 0 * CDEF_BSTRIDE + 1, -1 * CDEF_BSTRIDE + 2 }, }; const int (*const cdef_directions)[2] = cdef_directions_padded + 2; /* Detect direction. 0 means 45-degree up-right, 2 is horizontal, and so on. The search minimizes the weighted variance along all the lines in a particular direction, i.e. the squared error between the input and a "predicted" block where each pixel is replaced by the average along a line in a particular direction. Since each direction have the same sum(x^2) term, that term is never computed. See Section 2, step 2, of: http://jmvalin.ca/notes/intra_paint.pdf */ int cdef_find_dir_c(const uint16_t *img, int stride, int32_t *var, int coeff_shift) { int i; int32_t cost[8] = { 0 }; int partial[8][15] = { { 0 } }; int32_t best_cost = 0; int best_dir = 0; /* Instead of dividing by n between 2 and 8, we multiply by 3*5*7*8/n. The output is then 840 times larger, but we don't care for finding the max. */ static const int div_table[] = { 0, 840, 420, 280, 210, 168, 140, 120, 105 }; for (i = 0; i < 8; i++) { int j; for (j = 0; j < 8; j++) { int x; /* We subtract 128 here to reduce the maximum range of the squared partial sums. */ x = (img[i * stride + j] >> coeff_shift) - 128; partial[0][i + j] += x; partial[1][i + j / 2] += x; partial[2][i] += x; partial[3][3 + i - j / 2] += x; partial[4][7 + i - j] += x; partial[5][3 - i / 2 + j] += x; partial[6][j] += x; partial[7][i / 2 + j] += x; } } for (i = 0; i < 8; i++) { cost[2] += partial[2][i] * partial[2][i]; cost[6] += partial[6][i] * partial[6][i]; } cost[2] *= div_table[8]; cost[6] *= div_table[8]; for (i = 0; i < 7; i++) { cost[0] += (partial[0][i] * partial[0][i] + partial[0][14 - i] * partial[0][14 - i]) * div_table[i + 1]; cost[4] += (partial[4][i] * partial[4][i] + partial[4][14 - i] * partial[4][14 - i]) * div_table[i + 1]; } cost[0] += partial[0][7] * partial[0][7] * div_table[8]; cost[4] += partial[4][7] * partial[4][7] * div_table[8]; for (i = 1; i < 8; i += 2) { int j; for (j = 0; j < 4 + 1; j++) { cost[i] += partial[i][3 + j] * partial[i][3 + j]; } cost[i] *= div_table[8]; for (j = 0; j < 4 - 1; j++) { cost[i] += (partial[i][j] * partial[i][j] + partial[i][10 - j] * partial[i][10 - j]) * div_table[2 * j + 2]; } } for (i = 0; i < 8; i++) { if (cost[i] > best_cost) { best_cost = cost[i]; best_dir = i; } } /* Difference between the optimal variance and the variance along the orthogonal direction. Again, the sum(x^2) terms cancel out. */ *var = best_cost - cost[(best_dir + 4) & 7]; /* We'd normally divide by 840, but dividing by 1024 is close enough for what we're going to do with this. */ *var >>= 10; return best_dir; } void cdef_find_dir_dual_c(const uint16_t *img1, const uint16_t *img2, int stride, int32_t *var1, int32_t *var2, int coeff_shift, int *out1, int *out2) { *out1 = cdef_find_dir_c(img1, stride, var1, coeff_shift); *out2 = cdef_find_dir_c(img2, stride, var2, coeff_shift); } const int cdef_pri_taps[2][2] = { { 4, 2 }, { 3, 3 } }; const int cdef_sec_taps[2] = { 2, 1 }; /* Smooth in the direction detected. */ static void cdef_filter_block_internal( uint8_t *dst8, uint16_t *dst16, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height, int enable_primary, int enable_secondary) { const int clipping_required = (enable_primary && enable_secondary); int i, j, k; const int s = CDEF_BSTRIDE; const int *pri_taps = cdef_pri_taps[(pri_strength >> coeff_shift) & 1]; const int *sec_taps = cdef_sec_taps; for (i = 0; i < block_height; i++) { for (j = 0; j < block_width; j++) { int16_t sum = 0; int16_t y; int16_t x = in[i * s + j]; int max = x; int min = x; for (k = 0; k < 2; k++) { if (enable_primary) { int16_t p0 = in[i * s + j + cdef_directions[dir][k]]; int16_t p1 = in[i * s + j - cdef_directions[dir][k]]; sum += pri_taps[k] * constrain(p0 - x, pri_strength, pri_damping); sum += pri_taps[k] * constrain(p1 - x, pri_strength, pri_damping); if (clipping_required) { if (p0 != CDEF_VERY_LARGE) max = AOMMAX(p0, max); if (p1 != CDEF_VERY_LARGE) max = AOMMAX(p1, max); min = AOMMIN(p0, min); min = AOMMIN(p1, min); } } if (enable_secondary) { int16_t s0 = in[i * s + j + cdef_directions[dir + 2][k]]; int16_t s1 = in[i * s + j - cdef_directions[dir + 2][k]]; int16_t s2 = in[i * s + j + cdef_directions[dir - 2][k]]; int16_t s3 = in[i * s + j - cdef_directions[dir - 2][k]]; if (clipping_required) { if (s0 != CDEF_VERY_LARGE) max = AOMMAX(s0, max); if (s1 != CDEF_VERY_LARGE) max = AOMMAX(s1, max); if (s2 != CDEF_VERY_LARGE) max = AOMMAX(s2, max); if (s3 != CDEF_VERY_LARGE) max = AOMMAX(s3, max); min = AOMMIN(s0, min); min = AOMMIN(s1, min); min = AOMMIN(s2, min); min = AOMMIN(s3, min); } sum += sec_taps[k] * constrain(s0 - x, sec_strength, sec_damping); sum += sec_taps[k] * constrain(s1 - x, sec_strength, sec_damping); sum += sec_taps[k] * constrain(s2 - x, sec_strength, sec_damping); sum += sec_taps[k] * constrain(s3 - x, sec_strength, sec_damping); } } y = ((int16_t)x + ((8 + sum - (sum < 0)) >> 4)); if (clipping_required) { y = clamp(y, min, max); } if (dst8) dst8[i * dstride + j] = (uint8_t)y; else dst16[i * dstride + j] = (uint16_t)y; } } } void cdef_filter_8_0_c(void *dst8, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal((uint8_t *)dst8, NULL, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/1, /*enable_secondary=*/1); } void cdef_filter_8_1_c(void *dst8, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal((uint8_t *)dst8, NULL, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/1, /*enable_secondary=*/0); } void cdef_filter_8_2_c(void *dst8, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal((uint8_t *)dst8, NULL, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/0, /*enable_secondary=*/1); } void cdef_filter_8_3_c(void *dst8, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal((uint8_t *)dst8, NULL, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/0, /*enable_secondary=*/0); } void cdef_filter_16_0_c(void *dst16, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal(NULL, (uint16_t *)dst16, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/1, /*enable_secondary=*/1); } void cdef_filter_16_1_c(void *dst16, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal(NULL, (uint16_t *)dst16, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/1, /*enable_secondary=*/0); } void cdef_filter_16_2_c(void *dst16, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal(NULL, (uint16_t *)dst16, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/0, /*enable_secondary=*/1); } void cdef_filter_16_3_c(void *dst16, int dstride, const uint16_t *in, int pri_strength, int sec_strength, int dir, int pri_damping, int sec_damping, int coeff_shift, int block_width, int block_height) { cdef_filter_block_internal(NULL, (uint16_t *)dst16, dstride, in, pri_strength, sec_strength, dir, pri_damping, sec_damping, coeff_shift, block_width, block_height, /*enable_primary=*/0, /*enable_secondary=*/0); } /* Compute the primary filter strength for an 8x8 block based on the directional variance difference. A high variance difference means that we have a highly directional pattern (e.g. a high contrast edge), so we can apply more deringing. A low variance means that we either have a low contrast edge, or a non-directional texture, so we want to be careful not to blur. */ static INLINE int adjust_strength(int strength, int32_t var) { const int i = var >> 6 ? AOMMIN(get_msb(var >> 6), 12) : 0; /* We use the variance of 8x8 blocks to adjust the strength. */ return var ? (strength * (4 + i) + 8) >> 4 : 0; } static AOM_INLINE void aom_cdef_find_dir(const uint16_t *in, cdef_list *dlist, int var[CDEF_NBLOCKS][CDEF_NBLOCKS], int cdef_count, int coeff_shift, int dir[CDEF_NBLOCKS][CDEF_NBLOCKS]) { int bi; // Find direction of two 8x8 blocks together. for (bi = 0; bi < cdef_count - 1; bi += 2) { const int by = dlist[bi].by; const int bx = dlist[bi].bx; const int by2 = dlist[bi + 1].by; const int bx2 = dlist[bi + 1].bx; const int pos1 = 8 * by * CDEF_BSTRIDE + 8 * bx; const int pos2 = 8 * by2 * CDEF_BSTRIDE + 8 * bx2; cdef_find_dir_dual(&in[pos1], &in[pos2], CDEF_BSTRIDE, &var[by][bx], &var[by2][bx2], coeff_shift, &dir[by][bx], &dir[by2][bx2]); } // Process remaining 8x8 blocks here. One 8x8 at a time. if (cdef_count % 2) { const int by = dlist[bi].by; const int bx = dlist[bi].bx; dir[by][bx] = cdef_find_dir(&in[8 * by * CDEF_BSTRIDE + 8 * bx], CDEF_BSTRIDE, &var[by][bx], coeff_shift); } } void av1_cdef_filter_fb(uint8_t *dst8, uint16_t *dst16, int dstride, const uint16_t *in, int xdec, int ydec, int dir[CDEF_NBLOCKS][CDEF_NBLOCKS], int *dirinit, int var[CDEF_NBLOCKS][CDEF_NBLOCKS], int pli, cdef_list *dlist, int cdef_count, int level, int sec_strength, int damping, int coeff_shift) { int bi; int bx; int by; const int pri_strength = level << coeff_shift; sec_strength <<= coeff_shift; damping += coeff_shift - (pli != AOM_PLANE_Y); const int bw_log2 = 3 - xdec; const int bh_log2 = 3 - ydec; if (dirinit && pri_strength == 0 && sec_strength == 0) { // If we're here, both primary and secondary strengths are 0, and // we still haven't written anything to y[] yet, so we just copy // the input to y[]. This is necessary only for av1_cdef_search() // and only av1_cdef_search() sets dirinit. for (bi = 0; bi < cdef_count; bi++) { by = dlist[bi].by; bx = dlist[bi].bx; // TODO(stemidts/jmvalin): SIMD optimisations for (int iy = 0; iy < 1 << bh_log2; iy++) { memcpy(&dst16[(bi << (bw_log2 + bh_log2)) + (iy << bw_log2)], &in[((by << bh_log2) + iy) * CDEF_BSTRIDE + (bx << bw_log2)], ((size_t)1 << bw_log2) * sizeof(*dst16)); } } return; } if (pli == 0) { if (!dirinit || !*dirinit) { aom_cdef_find_dir(in, dlist, var, cdef_count, coeff_shift, dir); if (dirinit) *dirinit = 1; } } if (pli == 1 && xdec != ydec) { for (bi = 0; bi < cdef_count; bi++) { static const int conv422[8] = { 7, 0, 2, 4, 5, 6, 6, 6 }; static const int conv440[8] = { 1, 2, 2, 2, 3, 4, 6, 0 }; by = dlist[bi].by; bx = dlist[bi].bx; dir[by][bx] = (xdec ? conv422 : conv440)[dir[by][bx]]; } } if (dst8) { const int block_width = 8 >> xdec; const int block_height = 8 >> ydec; /* * strength_index == 0 : enable_primary = 1, enable_secondary = 1 * strength_index == 1 : enable_primary = 1, enable_secondary = 0 * strength_index == 2 : enable_primary = 0, enable_secondary = 1 * strength_index == 3 : enable_primary = 0, enable_secondary = 0 */ const cdef_filter_block_func cdef_filter_fn[4] = { cdef_filter_8_0, cdef_filter_8_1, cdef_filter_8_2, cdef_filter_8_3 }; for (bi = 0; bi < cdef_count; bi++) { by = dlist[bi].by; bx = dlist[bi].bx; const int t = (pli ? pri_strength : adjust_strength(pri_strength, var[by][bx])); const int strength_index = (sec_strength == 0) | ((t == 0) << 1); cdef_filter_fn[strength_index]( &dst8[(by << bh_log2) * dstride + (bx << bw_log2)], dstride, &in[(by * CDEF_BSTRIDE << bh_log2) + (bx << bw_log2)], t, sec_strength, pri_strength ? dir[by][bx] : 0, damping, damping, coeff_shift, block_width, block_height); } } else { const int block_width = 8 >> xdec; const int block_height = 8 >> ydec; /* * strength_index == 0 : enable_primary = 1, enable_secondary = 1 * strength_index == 1 : enable_primary = 1, enable_secondary = 0 * strength_index == 2 : enable_primary = 0, enable_secondary = 1 * strength_index == 3 : enable_primary = 0, enable_secondary = 0 */ const cdef_filter_block_func cdef_filter_fn[4] = { cdef_filter_16_0, cdef_filter_16_1, cdef_filter_16_2, cdef_filter_16_3 }; for (bi = 0; bi < cdef_count; bi++) { by = dlist[bi].by; bx = dlist[bi].bx; const int t = (pli ? pri_strength : adjust_strength(pri_strength, var[by][bx])); const int strength_index = (sec_strength == 0) | ((t == 0) << 1); cdef_filter_fn[strength_index]( &dst16[dirinit ? bi << (bw_log2 + bh_log2) : (by << bh_log2) * dstride + (bx << bw_log2)], dirinit ? 1 << bw_log2 : dstride, &in[(by * CDEF_BSTRIDE << bh_log2) + (bx << bw_log2)], t, sec_strength, pri_strength ? dir[by][bx] : 0, damping, damping, coeff_shift, block_width, block_height); } } }