465 lines
14 KiB
C
Executable file
465 lines
14 KiB
C
Executable file
/*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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*@brief IntraX8 frame subdecoder image manipulation routines
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*/
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#include "intrax8dsp.h"
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#include "libavutil/common.h"
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/*
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* area positions, #3 is 1 pixel only, other are 8 pixels
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* |66666666|
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* 3|44444444|55555555|
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* - -+--------+--------+
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* 1 2|XXXXXXXX|
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* 1 2|XXXXXXXX|
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* 1 2|XXXXXXXX|
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* 1 2|XXXXXXXX|
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* 1 2|XXXXXXXX|
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* 1 2|XXXXXXXX|
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* 1 2|XXXXXXXX|
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* 1 2|XXXXXXXX|
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* ^-start
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*/
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#define area1 (0)
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#define area2 (8)
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#define area3 (8 + 8)
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#define area4 (8 + 8 + 1)
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#define area5 (8 + 8 + 1 + 8)
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#define area6 (8 + 8 + 1 + 16)
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/**
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Collect statistics and prepare the edge pixels required by the other spatial compensation functions.
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* @param src pointer to the beginning of the processed block
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* @param dst pointer to emu_edge, edge pixels are stored the way other compensation routines do.
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* @param linesize byte offset between 2 vertical pixels in the source image
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* @param range pointer to the variable where the edge pixel range is to be stored (max-min values)
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* @param psum pointer to the variable where the edge pixel sum is to be stored
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* @param edges Informs this routine that the block is on an image border, so it has to interpolate the missing edge pixels.
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and some of the edge pixels should be interpolated, the flag has the following meaning:
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1 - mb_x==0 - first block in the row, interpolate area #1,#2,#3;
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2 - mb_y==0 - first row, interpolate area #3,#4,#5,#6;
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note: 1|2 - mb_x==mb_y==0 - first block, use 0x80 value for all areas;
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4 - mb_x>= (mb_width-1) last block in the row, interpolate area #5;
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-*/
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static void x8_setup_spatial_compensation(uint8_t *src, uint8_t *dst,
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ptrdiff_t stride, int *range,
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int *psum, int edges)
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{
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uint8_t *ptr;
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int sum;
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int i;
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int min_pix, max_pix;
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uint8_t c;
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if ((edges & 3) == 3) {
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*psum = 0x80 * (8 + 1 + 8 + 2);
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*range = 0;
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memset(dst, 0x80, 16 + 1 + 16 + 8);
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/* this triggers flat_dc for sure. flat_dc avoids all (other)
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* prediction modes, but requires dc_level decoding. */
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return;
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}
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min_pix = 256;
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max_pix = -1;
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sum = 0;
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if (!(edges & 1)) { // (mb_x != 0) // there is previous block on this row
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ptr = src - 1; // left column, area 2
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for (i = 7; i >= 0; i--) {
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c = *(ptr - 1); // area1, same mb as area2, no need to check
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dst[area1 + i] = c;
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c = *ptr;
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sum += c;
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min_pix = FFMIN(min_pix, c);
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max_pix = FFMAX(max_pix, c);
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dst[area2 + i] = c;
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ptr += stride;
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}
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}
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if (!(edges & 2)) { // (mb_y != 0) // there is row above
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ptr = src - stride; // top line
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for (i = 0; i < 8; i++) {
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c = *(ptr + i);
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sum += c;
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min_pix = FFMIN(min_pix, c);
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max_pix = FFMAX(max_pix, c);
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}
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if (edges & 4) { // last block on the row?
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memset(dst + area5, c, 8); // set with last pixel fr
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memcpy(dst + area4, ptr, 8);
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} else {
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memcpy(dst + area4, ptr, 16); // both area4 and 5
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}
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// area6 always present in the above block
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memcpy(dst + area6, ptr - stride, 8);
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}
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// now calculate the stuff we need
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if (edges & 3) { // mb_x ==0 || mb_y == 0) {
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int avg = (sum + 4) >> 3;
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if (edges & 1) // (mb_x == 0) { // implies mb_y !=0
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memset(dst + area1, avg, 8 + 8 + 1); // areas 1, 2, 3 are averaged
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else // implies y == 0 x != 0
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memset(dst + area3, avg, 1 + 16 + 8); // areas 3, 4, 5, 6
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sum += avg * 9;
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} else {
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// the edge pixel, in the top line and left column
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uint8_t c = *(src - 1 - stride);
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dst[area3] = c;
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sum += c;
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// edge pixel is not part of min/max
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}
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*range = max_pix - min_pix;
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sum += *(dst + area5) + *(dst + area5 + 1);
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*psum = sum;
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}
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static const uint16_t zero_prediction_weights[64 * 2] = {
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640, 640, 669, 480, 708, 354, 748, 257,
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792, 198, 760, 143, 808, 101, 772, 72,
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480, 669, 537, 537, 598, 416, 661, 316,
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719, 250, 707, 185, 768, 134, 745, 97,
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354, 708, 416, 598, 488, 488, 564, 388,
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634, 317, 642, 241, 716, 179, 706, 132,
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257, 748, 316, 661, 388, 564, 469, 469,
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543, 395, 571, 311, 655, 238, 660, 180,
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198, 792, 250, 719, 317, 634, 395, 543,
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469, 469, 507, 380, 597, 299, 616, 231,
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161, 855, 206, 788, 266, 710, 340, 623,
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411, 548, 455, 455, 548, 366, 576, 288,
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122, 972, 159, 914, 211, 842, 276, 758,
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341, 682, 389, 584, 483, 483, 520, 390,
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110, 1172, 144, 1107, 193, 1028, 254, 932,
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317, 846, 366, 731, 458, 611, 499, 499,
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};
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static void spatial_compensation_0(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int i, j;
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int x, y;
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unsigned int p; // power divided by 2
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int a;
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uint16_t left_sum[2][8] = { { 0 } };
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uint16_t top_sum[2][8] = { { 0 } };
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for (i = 0; i < 8; i++) {
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a = src[area2 + 7 - i] << 4;
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for (j = 0; j < 8; j++) {
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p = abs(i - j);
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left_sum[p & 1][j] += a >> (p >> 1);
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}
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}
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for (i = 0; i < 8; i++) {
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a = src[area4 + i] << 4;
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for (j = 0; j < 8; j++) {
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p = abs(i - j);
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top_sum[p & 1][j] += a >> (p >> 1);
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}
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}
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for (; i < 10; i++) {
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a = src[area4 + i] << 4;
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for (j = 5; j < 8; j++) {
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p = abs(i - j);
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top_sum[p & 1][j] += a >> (p >> 1);
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}
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}
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for (; i < 12; i++) {
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a = src[area4 + i] << 4;
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for (j = 7; j < 8; j++) {
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p = abs(i - j);
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top_sum[p & 1][j] += a >> (p >> 1);
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}
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}
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for (i = 0; i < 8; i++) {
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top_sum[0][i] += (top_sum[1][i] * 181 + 128) >> 8; // 181 is sqrt(2)/2
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left_sum[0][i] += (left_sum[1][i] * 181 + 128) >> 8;
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}
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = ((uint32_t) top_sum[0][x] * zero_prediction_weights[y * 16 + x * 2 + 0] +
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(uint32_t) left_sum[0][y] * zero_prediction_weights[y * 16 + x * 2 + 1] +
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0x8000) >> 16;
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dst += stride;
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}
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}
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static void spatial_compensation_1(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = src[area4 + FFMIN(2 * y + x + 2, 15)];
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dst += stride;
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}
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}
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static void spatial_compensation_2(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = src[area4 + 1 + y + x];
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dst += stride;
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}
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}
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static void spatial_compensation_3(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = src[area4 + ((y + 1) >> 1) + x];
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dst += stride;
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}
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}
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static void spatial_compensation_4(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = (src[area4 + x] + src[area6 + x] + 1) >> 1;
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dst += stride;
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}
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}
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static void spatial_compensation_5(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++) {
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if (2 * x - y < 0)
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dst[x] = src[area2 + 9 + 2 * x - y];
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else
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dst[x] = src[area4 + x - ((y + 1) >> 1)];
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}
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dst += stride;
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}
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}
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static void spatial_compensation_6(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = src[area3 + x - y];
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dst += stride;
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}
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}
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static void spatial_compensation_7(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++) {
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if (x - 2 * y > 0)
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dst[x] = (src[area3 - 1 + x - 2 * y] + src[area3 + x - 2 * y] + 1) >> 1;
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else
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dst[x] = src[area2 + 8 - y + (x >> 1)];
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}
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dst += stride;
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}
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}
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static void spatial_compensation_8(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = (src[area1 + 7 - y] + src[area2 + 7 - y] + 1) >> 1;
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dst += stride;
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}
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}
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static void spatial_compensation_9(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = src[area2 + 6 - FFMIN(x + y, 6)];
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dst += stride;
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}
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}
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static void spatial_compensation_10(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = (src[area2 + 7 - y] * (8 - x) + src[area4 + x] * x + 4) >> 3;
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dst += stride;
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}
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}
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static void spatial_compensation_11(uint8_t *src, uint8_t *dst, ptrdiff_t stride)
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{
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int x, y;
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for (y = 0; y < 8; y++) {
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for (x = 0; x < 8; x++)
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dst[x] = (src[area2 + 7 - y] * y + src[area4 + x] * (8 - y) + 4) >> 3;
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dst += stride;
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}
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}
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static void x8_loop_filter(uint8_t *ptr, const ptrdiff_t a_stride,
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const ptrdiff_t b_stride, int quant)
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{
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int i, t;
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int p0, p1, p2, p3, p4, p5, p6, p7, p8, p9;
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int ql = (quant + 10) >> 3;
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for (i = 0; i < 8; i++, ptr += b_stride) {
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p0 = ptr[-5 * a_stride];
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p1 = ptr[-4 * a_stride];
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p2 = ptr[-3 * a_stride];
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p3 = ptr[-2 * a_stride];
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p4 = ptr[-1 * a_stride];
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p5 = ptr[0];
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p6 = ptr[1 * a_stride];
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p7 = ptr[2 * a_stride];
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p8 = ptr[3 * a_stride];
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p9 = ptr[4 * a_stride];
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t = (FFABS(p1 - p2) <= ql) +
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(FFABS(p2 - p3) <= ql) +
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(FFABS(p3 - p4) <= ql) +
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(FFABS(p4 - p5) <= ql);
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// You need at least 1 to be able to reach a total score of 6.
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if (t > 0) {
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t += (FFABS(p5 - p6) <= ql) +
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(FFABS(p6 - p7) <= ql) +
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(FFABS(p7 - p8) <= ql) +
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(FFABS(p8 - p9) <= ql) +
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(FFABS(p0 - p1) <= ql);
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if (t >= 6) {
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int min, max;
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min = max = p1;
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min = FFMIN(min, p3);
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max = FFMAX(max, p3);
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min = FFMIN(min, p5);
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max = FFMAX(max, p5);
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min = FFMIN(min, p8);
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max = FFMAX(max, p8);
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if (max - min < 2 * quant) { // early stop
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min = FFMIN(min, p2);
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max = FFMAX(max, p2);
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min = FFMIN(min, p4);
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max = FFMAX(max, p4);
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min = FFMIN(min, p6);
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max = FFMAX(max, p6);
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min = FFMIN(min, p7);
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max = FFMAX(max, p7);
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if (max - min < 2 * quant) {
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ptr[-2 * a_stride] = (4 * p2 + 3 * p3 + 1 * p7 + 4) >> 3;
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ptr[-1 * a_stride] = (3 * p2 + 3 * p4 + 2 * p7 + 4) >> 3;
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ptr[0] = (2 * p2 + 3 * p5 + 3 * p7 + 4) >> 3;
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ptr[1 * a_stride] = (1 * p2 + 3 * p6 + 4 * p7 + 4) >> 3;
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continue;
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}
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}
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}
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}
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{
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int x, x0, x1, x2;
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int m;
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x0 = (2 * p3 - 5 * p4 + 5 * p5 - 2 * p6 + 4) >> 3;
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if (FFABS(x0) < quant) {
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x1 = (2 * p1 - 5 * p2 + 5 * p3 - 2 * p4 + 4) >> 3;
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x2 = (2 * p5 - 5 * p6 + 5 * p7 - 2 * p8 + 4) >> 3;
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x = FFABS(x0) - FFMIN(FFABS(x1), FFABS(x2));
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m = p4 - p5;
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if (x > 0 && (m ^ x0) < 0) {
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int32_t sign;
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sign = m >> 31;
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m = (m ^ sign) - sign; // abs(m)
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m >>= 1;
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x = 5 * x >> 3;
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if (x > m)
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x = m;
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x = (x ^ sign) - sign;
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ptr[-1 * a_stride] -= x;
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ptr[0] += x;
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}
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}
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}
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}
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}
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static void x8_h_loop_filter(uint8_t *src, ptrdiff_t stride, int qscale)
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{
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x8_loop_filter(src, stride, 1, qscale);
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}
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static void x8_v_loop_filter(uint8_t *src, ptrdiff_t stride, int qscale)
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{
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x8_loop_filter(src, 1, stride, qscale);
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}
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av_cold void ff_intrax8dsp_init(IntraX8DSPContext *dsp)
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{
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dsp->h_loop_filter = x8_h_loop_filter;
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dsp->v_loop_filter = x8_v_loop_filter;
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dsp->setup_spatial_compensation = x8_setup_spatial_compensation;
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dsp->spatial_compensation[0] = spatial_compensation_0;
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dsp->spatial_compensation[1] = spatial_compensation_1;
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dsp->spatial_compensation[2] = spatial_compensation_2;
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dsp->spatial_compensation[3] = spatial_compensation_3;
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dsp->spatial_compensation[4] = spatial_compensation_4;
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dsp->spatial_compensation[5] = spatial_compensation_5;
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dsp->spatial_compensation[6] = spatial_compensation_6;
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dsp->spatial_compensation[7] = spatial_compensation_7;
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dsp->spatial_compensation[8] = spatial_compensation_8;
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dsp->spatial_compensation[9] = spatial_compensation_9;
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dsp->spatial_compensation[10] = spatial_compensation_10;
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dsp->spatial_compensation[11] = spatial_compensation_11;
|
|
}
|