mv SharpYuvEstimate420Risk to extras/

There's no need for this in libsharpyuv currently. This avoids an ABI
bump and library size increase.

Change-Id: I3e4c79052fdb4d628a2d36491547233dd0b6dc34
This commit is contained in:
James Zern
2024-01-11 18:02:16 -08:00
parent e78e924f84
commit 5efd6300dc
14 changed files with 207 additions and 217 deletions

View File

@ -11,12 +11,18 @@
//
#include "extras/extras.h"
#include "webp/format_constants.h"
#include "src/dsp/dsp.h"
#include <assert.h>
#include <limits.h>
#include <string.h>
#include "extras/sharpyuv_risk_table.h"
#include "sharpyuv/sharpyuv.h"
#include "src/dsp/dsp.h"
#include "src/utils/utils.h"
#include "webp/format_constants.h"
#include "webp/types.h"
#define XTRA_MAJ_VERSION 1
#define XTRA_MIN_VERSION 3
#define XTRA_REV_VERSION 2
@ -160,3 +166,159 @@ int WebPUnmultiplyARGB(WebPPicture* pic) {
}
//------------------------------------------------------------------------------
// 420 risk metric
#define YUV_FIX 16 // fixed-point precision for RGB->YUV
static const int kYuvHalf = 1 << (YUV_FIX - 1);
// Maps a value in [0, (256 << YUV_FIX) - 1] to [0,
// precomputed_scores_table_sampling - 1]. It is important that the extremal
// values are preserved and 1:1 mapped:
// ConvertValue(0) = 0
// ConvertValue((256 << 16) - 1) = rgb_sampling_size - 1
static int SharpYuvConvertValueToSampledIdx(int v, int rgb_sampling_size) {
v = (v + kYuvHalf) >> YUV_FIX;
v = (v < 0) ? 0 : (v > 255) ? 255 : v;
return (v * (rgb_sampling_size - 1)) / 255;
}
#undef YUV_FIX
// For each pixel, computes the index to look up that color in a precomputed
// risk score table where the YUV space is subsampled to a size of
// precomputed_scores_table_sampling^3 (see sharpyuv_risk_table.h)
static int SharpYuvConvertToYuvSharpnessIndex(
int r, int g, int b, const SharpYuvConversionMatrix* matrix,
int precomputed_scores_table_sampling) {
const int y = SharpYuvConvertValueToSampledIdx(
matrix->rgb_to_y[0] * r + matrix->rgb_to_y[1] * g +
matrix->rgb_to_y[2] * b + matrix->rgb_to_y[3],
precomputed_scores_table_sampling);
const int u = SharpYuvConvertValueToSampledIdx(
matrix->rgb_to_u[0] * r + matrix->rgb_to_u[1] * g +
matrix->rgb_to_u[2] * b + matrix->rgb_to_u[3],
precomputed_scores_table_sampling);
const int v = SharpYuvConvertValueToSampledIdx(
matrix->rgb_to_v[0] * r + matrix->rgb_to_v[1] * g +
matrix->rgb_to_v[2] * b + matrix->rgb_to_v[3],
precomputed_scores_table_sampling);
return y + u * precomputed_scores_table_sampling +
v * precomputed_scores_table_sampling *
precomputed_scores_table_sampling;
}
static void SharpYuvRowToYuvSharpnessIndex(
const uint8_t* r_ptr, const uint8_t* g_ptr, const uint8_t* b_ptr,
int rgb_step, int rgb_bit_depth, int width, uint16_t* dst,
const SharpYuvConversionMatrix* matrix,
int precomputed_scores_table_sampling) {
int i;
assert(rgb_bit_depth == 8);
(void)rgb_bit_depth; // Unused for now.
for (i = 0; i < width;
++i, r_ptr += rgb_step, g_ptr += rgb_step, b_ptr += rgb_step) {
dst[i] =
SharpYuvConvertToYuvSharpnessIndex(r_ptr[0], g_ptr[0], b_ptr[0], matrix,
precomputed_scores_table_sampling);
}
}
#define SAFE_ALLOC(W, H, T) ((T*)WebPSafeMalloc((uint64_t)(W) * (H), sizeof(T)))
static int DoEstimateRisk(const uint8_t* r_ptr, const uint8_t* g_ptr,
const uint8_t* b_ptr, int rgb_step, int rgb_stride,
int rgb_bit_depth, int width, int height,
const SharpYuvOptions* options,
const uint8_t precomputed_scores_table[],
int precomputed_scores_table_sampling,
float* score_out) {
const int sampling3 = precomputed_scores_table_sampling *
precomputed_scores_table_sampling *
precomputed_scores_table_sampling;
const int kNoiseLevel = 4;
double total_score = 0;
double count = 0;
// Rows of indices in
uint16_t* row1 = SAFE_ALLOC(width, 1, uint16_t);
uint16_t* row2 = SAFE_ALLOC(width, 1, uint16_t);
uint16_t* tmp;
int i, j;
if (row1 == NULL || row2 == NULL) {
WebPFree(row1);
WebPFree(row2);
return 0;
}
// Convert the first row ahead.
SharpYuvRowToYuvSharpnessIndex(r_ptr, g_ptr, b_ptr, rgb_step, rgb_bit_depth,
width, row2, options->yuv_matrix,
precomputed_scores_table_sampling);
for (j = 1; j < height; ++j) {
r_ptr += rgb_stride;
g_ptr += rgb_stride;
b_ptr += rgb_stride;
// Swap row 1 and row 2.
tmp = row1;
row1 = row2;
row2 = tmp;
// Convert the row below.
SharpYuvRowToYuvSharpnessIndex(r_ptr, g_ptr, b_ptr, rgb_step, rgb_bit_depth,
width, row2, options->yuv_matrix,
precomputed_scores_table_sampling);
for (i = 0; i < width - 1; ++i) {
const int idx0 = row1[i + 0];
const int idx1 = row1[i + 1];
const int idx2 = row2[i + 0];
const int score = precomputed_scores_table[idx0 + sampling3 * idx1] +
precomputed_scores_table[idx0 + sampling3 * idx2] +
precomputed_scores_table[idx1 + sampling3 * idx2];
if (score > kNoiseLevel) {
total_score += score;
count += 1.0;
}
}
}
if (count > 0.) total_score /= count;
// If less than 1% of pixels were evaluated -> below noise level.
if (100. * count / (width * height) < 1.) total_score = 0.;
// Rescale to [0:100]
total_score = (total_score > 25.) ? 100. : total_score * 100. / 25.;
WebPFree(row1);
WebPFree(row2);
*score_out = (float)total_score;
return 1;
}
#undef SAFE_ALLOC
int SharpYuvEstimate420Risk(const void* r_ptr, const void* g_ptr,
const void* b_ptr, int rgb_step, int rgb_stride,
int rgb_bit_depth, int width, int height,
const SharpYuvOptions* options, float* score) {
if (width < 1 || height < 1 || width == INT_MAX || height == INT_MAX ||
r_ptr == NULL || g_ptr == NULL || b_ptr == NULL || options == NULL ||
score == NULL) {
return 0;
}
if (rgb_bit_depth != 8) {
return 0;
}
if (width <= 4 || height <= 4) {
*score = 0.0f; // too small, no real risk.
return 1;
}
return DoEstimateRisk(
(const uint8_t*)r_ptr, (const uint8_t*)g_ptr, (const uint8_t*)b_ptr,
rgb_step, rgb_stride, rgb_bit_depth, width, height, options,
kSharpYuvPrecomputedRisk, kSharpYuvPrecomputedRiskYuvSampling, score);
}
//------------------------------------------------------------------------------