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rawTherapee/rtengine/capturesharpening.cc
Daniel Gao 711f274403 Get rid of relative include paths 
* Use target_include_directories to specify include paths
* Specify project root (parent of rtgui and rtengine) as include path
* Replace relative includes with normal includes
2024-11-16 17:20:02 -05:00

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/*
* This file is part of RawTherapee.
*
* Copyright (c) 2019 Ingo Weyrich (heckflosse67@gmx.de)
*
* RawTherapee is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* RawTherapee is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with RawTherapee. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cmath>
#include <iostream>
#include "rtengine.h"
#include "rawimage.h"
#include "rawimagesource.h"
#include "rt_math.h"
#include "procparams.h"
#include "color.h"
#include "rt_algo.h"
//#define BENCHMARK
#include "StopWatch.h"
#include "opthelper.h"
#include "rtgui/multilangmgr.h"
namespace {
void compute13x13kernel(float sigma, float kernel[13][13]) {
const double temp = -2.f * rtengine::SQR(sigma);
float sum = 0.f;
for (int i = -6; i <= 6; ++i) {
for (int j = -6; j <= 6; ++j) {
if((rtengine::SQR(i) + rtengine::SQR(j)) <= rtengine::SQR(3.0 * 2.0)) {
kernel[i + 6][j + 6] = std::exp((rtengine::SQR(i) + rtengine::SQR(j)) / temp);
sum += kernel[i + 6][j + 6];
} else {
kernel[i + 6][j + 6] = 0.f;
}
}
}
for (int i = 0; i < 13; ++i) {
for (int j = 0; j < 13; ++j) {
kernel[i][j] /= sum;
}
}
}
void compute9x9kernel(float sigma, float kernel[9][9]) {
const double temp = -2.f * rtengine::SQR(sigma);
float sum = 0.f;
for (int i = -4; i <= 4; ++i) {
for (int j = -4; j <= 4; ++j) {
if((rtengine::SQR(i) + rtengine::SQR(j)) <= rtengine::SQR(3.0 * 1.5)) {
kernel[i + 4][j + 4] = std::exp((rtengine::SQR(i) + rtengine::SQR(j)) / temp);
sum += kernel[i + 4][j + 4];
} else {
kernel[i + 4][j + 4] = 0.f;
}
}
}
for (int i = 0; i < 9; ++i) {
for (int j = 0; j < 9; ++j) {
kernel[i][j] /= sum;
}
}
}
void compute7x7kernel(float sigma, float kernel[7][7]) {
const double temp = -2.f * rtengine::SQR(sigma);
float sum = 0.f;
for (int i = -3; i <= 3; ++i) {
for (int j = -3; j <= 3; ++j) {
if((rtengine::SQR(i) + rtengine::SQR(j)) <= rtengine::SQR(3.0 * 1.15)) {
kernel[i + 3][j + 3] = std::exp((rtengine::SQR(i) + rtengine::SQR(j)) / temp);
sum += kernel[i + 3][j + 3];
} else {
kernel[i + 3][j + 3] = 0.f;
}
}
}
for (int i = 0; i < 7; ++i) {
for (int j = 0; j < 7; ++j) {
kernel[i][j] /= sum;
}
}
}
void compute5x5kernel(float sigma, float kernel[5][5]) {
const double temp = -2.f * rtengine::SQR(sigma);
float sum = 0.f;
for (int i = -2; i <= 2; ++i) {
for (int j = -2; j <= 2; ++j) {
if((rtengine::SQR(i) + rtengine::SQR(j)) <= rtengine::SQR(3.0 * 0.84)) {
kernel[i + 2][j + 2] = std::exp((rtengine::SQR(i) + rtengine::SQR(j)) / temp);
sum += kernel[i + 2][j + 2];
} else {
kernel[i + 2][j + 2] = 0.f;
}
}
}
for (int i = 0; i < 5; ++i) {
for (int j = 0; j < 5; ++j) {
kernel[i][j] /= sum;
}
}
}
void compute3x3kernel(float sigma, float kernel[3][3]) {
const double temp = -2.f * rtengine::SQR(sigma);
float sum = 0.f;
for (int i = -1; i <= 1; ++i) {
for (int j = -1; j <= 1; ++j) {
kernel[i + 1][j + 1] = std::exp((rtengine::SQR(i) + rtengine::SQR(j)) / temp);
sum += kernel[i + 1][j + 1];
}
}
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 3; ++j) {
kernel[i][j] /= sum;
}
}
}
void gauss3x3div (float** RESTRICT src, float** RESTRICT dst, float** RESTRICT divBuffer, const int tileSize, const float kernel[3][3])
{
const float c11 = kernel[0][0];
const float c10 = kernel[0][1];
const float c00 = kernel[1][1];
for (int i = 1; i < tileSize - 1; i++) {
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 1; j < tileSize - 1; j++) {
const float val = c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] = divBuffer[i][j] / std::max(val, 0.00001f);
}
}
}
void gauss5x5div (float** RESTRICT src, float** RESTRICT dst, float** RESTRICT divBuffer, const int tileSize, const float kernel[5][5])
{
const float c21 = kernel[0][1];
const float c20 = kernel[0][2];
const float c11 = kernel[1][1];
const float c10 = kernel[1][2];
const float c00 = kernel[2][2];
for (int i = 2; i < tileSize - 2; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 2; j < tileSize - 2; ++j) {
const float val = c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] = divBuffer[i][j] / std::max(val, 0.00001f);
}
}
}
void gauss7x7div(float** RESTRICT src, float** RESTRICT dst, float** RESTRICT divBuffer, const int tileSize, const float kernel[7][7])
{
const float c31 = kernel[0][2];
const float c30 = kernel[0][3];
const float c22 = kernel[1][1];
const float c21 = kernel[1][2];
const float c20 = kernel[1][3];
const float c11 = kernel[2][2];
const float c10 = kernel[2][3];
const float c00 = kernel[3][3];
for (int i = 3; i < tileSize - 3; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 3; j < tileSize - 3; ++j) {
const float val = c31 * ((src[i - 3][j - 1] + src[i - 3][j + 1]) + (src[i - 1][j - 3] + src[i - 1][j + 3]) + (src[i + 1][j - 3] + src[i + 1][j + 3]) + (src[i + 3][j - 1] + src[i + 3][j + 1])) +
c30 * (src[i - 3][j] + src[i][j - 3] + src[i][j + 3] + src[i + 3][j]) +
c22 * (src[i - 2][j - 2] + src[i - 2][j + 2] + src[i + 2][j - 2] + src[i + 2][j + 2]) +
c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] = divBuffer[i][j] / std::max(val, 0.00001f);
}
}
}
void gauss9x9div(float** RESTRICT src, float** RESTRICT dst, float** RESTRICT divBuffer, const int tileSize, const float kernel[9][9])
{
const float c42 = kernel[0][2];
const float c41 = kernel[0][3];
const float c40 = kernel[0][4];
const float c33 = kernel[1][1];
const float c32 = kernel[1][2];
const float c31 = kernel[1][3];
const float c30 = kernel[1][4];
const float c22 = kernel[2][2];
const float c21 = kernel[2][3];
const float c20 = kernel[2][4];
const float c11 = kernel[3][3];
const float c10 = kernel[3][4];
const float c00 = kernel[4][4];
for (int i = 4; i < tileSize - 4; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 4; j < tileSize - 4; ++j) {
const float val = c42 * ((src[i - 4][j - 2] + src[i - 4][j + 2]) + (src[i - 2][j - 4] + src[i - 2][j + 4]) + (src[i + 2][j - 4] + src[i + 2][j + 4]) + (src[i + 4][j - 2] + src[i + 4][j + 2])) +
c41 * ((src[i - 4][j - 1] + src[i - 4][j + 1]) + (src[i - 1][j - 4] + src[i - 1][j + 4]) + (src[i + 1][j - 4] + src[i + 1][j + 4]) + (src[i + 4][j - 1] + src[i + 4][j + 1])) +
c40 * (src[i - 4][j] + src[i][j - 4] + src[i][j + 4] + src[i + 4][j]) +
c33 * (src[i - 3][j - 3] + src[i - 3][j + 3] + src[i + 3][j - 3] + src[i + 3][j + 3]) +
c32 * ((src[i - 3][j - 2] + src[i - 3][j + 2]) + (src[i - 2][j - 3] + src[i - 2][j + 3]) + (src[i + 2][j - 3] + src[i + 2][j + 3]) + (src[i + 3][j - 2] + src[i + 3][j + 2])) +
c31 * ((src[i - 3][j - 1] + src[i - 3][j + 1]) + (src[i - 1][j - 3] + src[i - 1][j + 3]) + (src[i + 1][j - 3] + src[i + 1][j + 3]) + (src[i + 3][j - 1] + src[i + 3][j + 1])) +
c30 * (src[i - 3][j] + src[i][j - 3] + src[i][j + 3] + src[i + 3][j]) +
c22 * (src[i - 2][j - 2] + src[i - 2][j + 2] + src[i + 2][j - 2] + src[i + 2][j + 2]) +
c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] = divBuffer[i][j] / std::max(val, 0.00001f);
}
}
}
void gauss13x13div(float** RESTRICT src, float** RESTRICT dst, float** RESTRICT divBuffer, const int tileSize, const float kernel[13][13])
{
const float c60 = kernel[0][6];
const float c53 = kernel[1][3];
const float c52 = kernel[1][4];
const float c51 = kernel[1][5];
const float c50 = kernel[1][6];
const float c44 = kernel[2][2];
const float c42 = kernel[2][4];
const float c41 = kernel[2][5];
const float c40 = kernel[2][6];
const float c33 = kernel[3][3];
const float c32 = kernel[3][4];
const float c31 = kernel[3][5];
const float c30 = kernel[3][6];
const float c22 = kernel[4][4];
const float c21 = kernel[4][5];
const float c20 = kernel[4][6];
const float c11 = kernel[5][5];
const float c10 = kernel[5][6];
const float c00 = kernel[6][6];
for (int i = 6; i < tileSize - 6; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 6; j < tileSize - 6; ++j) {
const float val = c60 * (src[i - 6][j] + src[i][j - 6] + src[i][j + 6] + src[i + 6][j]) +
c53 * ((src[i - 5][j - 3] + src[i - 5][j + 3]) + (src[i - 3][j - 5] + src[i - 3][j + 5]) + (src[i + 3][j - 5] + src[i + 3][j + 5]) + (src[i + 5][j - 3] + src[i + 5][j + 3])) +
c52 * ((src[i - 5][j - 2] + src[i - 5][j + 2]) + (src[i - 2][j - 5] + src[i - 2][j + 5]) + (src[i + 2][j - 5] + src[i + 2][j + 5]) + (src[i + 5][j - 2] + src[i + 5][j + 2])) +
c51 * ((src[i - 5][j - 1] + src[i - 5][j + 1]) + (src[i - 1][j - 5] + src[i - 1][j + 5]) + (src[i + 1][j - 5] + src[i + 1][j + 5]) + (src[i + 5][j - 1] + src[i + 5][j + 1])) +
c50 * ((src[i - 5][j] + src[i][j - 5] + src[i][j + 5] + src[i + 5][j]) + ((src[i - 4][j - 3] + src[i - 4][j + 3]) + (src[i - 3][j - 4] + src[i - 3][j + 4]) + (src[i + 3][j - 4] + src[i + 3][j + 4]) + (src[i + 4][j - 3] + src[i + 4][j + 3]))) +
c44 * (src[i - 4][j - 4] + src[i - 4][j + 4] + src[i + 4][j - 4] + src[i + 4][j + 4]) +
c42 * ((src[i - 4][j - 2] + src[i - 4][j + 2]) + (src[i - 2][j - 4] + src[i - 2][j + 4]) + (src[i + 2][j - 4] + src[i + 2][j + 4]) + (src[i + 4][j - 2] + src[i + 4][j + 2])) +
c41 * ((src[i - 4][j - 1] + src[i - 4][j + 1]) + (src[i - 1][j - 4] + src[i - 1][j + 4]) + (src[i + 1][j - 4] + src[i + 1][j + 4]) + (src[i + 4][j - 1] + src[i + 4][j + 1])) +
c40 * (src[i - 4][j] + src[i][j - 4] + src[i][j + 4] + src[i + 4][j]) +
c33 * (src[i - 3][j - 3] + src[i - 3][j + 3] + src[i + 3][j - 3] + src[i + 3][j + 3]) +
c32 * ((src[i - 3][j - 2] + src[i - 3][j + 2]) + (src[i - 2][j - 3] + src[i - 2][j + 3]) + (src[i + 2][j - 3] + src[i + 2][j + 3]) + (src[i + 3][j - 2] + src[i + 3][j + 2])) +
c31 * ((src[i - 3][j - 1] + src[i - 3][j + 1]) + (src[i - 1][j - 3] + src[i - 1][j + 3]) + (src[i + 1][j - 3] + src[i + 1][j + 3]) + (src[i + 3][j - 1] + src[i + 3][j + 1])) +
c30 * (src[i - 3][j] + src[i][j - 3] + src[i][j + 3] + src[i + 3][j]) +
c22 * (src[i - 2][j - 2] + src[i - 2][j + 2] + src[i + 2][j - 2] + src[i + 2][j + 2]) +
c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] = divBuffer[i][j] / std::max(val, 0.00001f);
}
}
}
void gauss3x3mult(float** RESTRICT src, float** RESTRICT dst, const int tileSize, const float kernel[3][3])
{
const float c11 = kernel[0][0];
const float c10 = kernel[0][1];
const float c00 = kernel[1][1];
for (int i = 1; i < tileSize - 1; i++) {
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 1; j < tileSize - 1; j++) {
const float val = c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] *= val;
}
}
}
void gauss5x5mult (float** RESTRICT src, float** RESTRICT dst, const int tileSize, const float kernel[5][5])
{
const float c21 = kernel[0][1];
const float c20 = kernel[0][2];
const float c11 = kernel[1][1];
const float c10 = kernel[1][2];
const float c00 = kernel[2][2];
for (int i = 2; i < tileSize - 2; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 2; j < tileSize - 2; ++j) {
const float val = c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] *= val;
}
}
}
void gauss7x7mult(float** RESTRICT src, float** RESTRICT dst, const int tileSize, const float kernel[7][7])
{
const float c31 = kernel[0][2];
const float c30 = kernel[0][3];
const float c22 = kernel[1][1];
const float c21 = kernel[1][2];
const float c20 = kernel[1][3];
const float c11 = kernel[2][2];
const float c10 = kernel[2][3];
const float c00 = kernel[3][3];
for (int i = 3; i < tileSize - 3; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 3; j < tileSize - 3; ++j) {
const float val = c31 * ((src[i - 3][j - 1] + src[i - 3][j + 1]) + (src[i - 1][j - 3] + src[i - 1][j + 3]) + (src[i + 1][j - 3] + src[i + 1][j + 3]) + (src[i + 3][j - 1] + src[i + 3][j + 1])) +
c30 * (src[i - 3][j] + src[i][j - 3] + src[i][j + 3] + src[i + 3][j]) +
c22 * (src[i - 2][j - 2] + src[i - 2][j + 2] + src[i + 2][j - 2] + src[i + 2][j + 2]) +
c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] *= val;
}
}
}
void gauss9x9mult(float** RESTRICT src, float** RESTRICT dst, const int tileSize, const float kernel[9][9])
{
const float c42 = kernel[0][2];
const float c41 = kernel[0][3];
const float c40 = kernel[0][4];
const float c33 = kernel[1][1];
const float c32 = kernel[1][2];
const float c31 = kernel[1][3];
const float c30 = kernel[1][4];
const float c22 = kernel[2][2];
const float c21 = kernel[2][3];
const float c20 = kernel[2][4];
const float c11 = kernel[3][3];
const float c10 = kernel[3][4];
const float c00 = kernel[4][4];
for (int i = 4; i < tileSize - 4; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 4; j < tileSize - 4; ++j) {
const float val = c42 * ((src[i - 4][j - 2] + src[i - 4][j + 2]) + (src[i - 2][j - 4] + src[i - 2][j + 4]) + (src[i + 2][j - 4] + src[i + 2][j + 4]) + (src[i + 4][j - 2] + src[i + 4][j + 2])) +
c41 * ((src[i - 4][j - 1] + src[i - 4][j + 1]) + (src[i - 1][j - 4] + src[i - 1][j + 4]) + (src[i + 1][j - 4] + src[i + 1][j + 4]) + (src[i + 4][j - 1] + src[i + 4][j + 1])) +
c40 * (src[i - 4][j] + src[i][j - 4] + src[i][j + 4] + src[i + 4][j]) +
c33 * (src[i - 3][j - 3] + src[i - 3][j + 3] + src[i + 3][j - 3] + src[i + 3][j + 3]) +
c32 * ((src[i - 3][j - 2] + src[i - 3][j + 2]) + (src[i - 2][j - 3] + src[i - 2][j + 3]) + (src[i + 2][j - 3] + src[i + 2][j + 3]) + (src[i + 3][j - 2] + src[i + 3][j + 2])) +
c31 * ((src[i - 3][j - 1] + src[i - 3][j + 1]) + (src[i - 1][j - 3] + src[i - 1][j + 3]) + (src[i + 1][j - 3] + src[i + 1][j + 3]) + (src[i + 3][j - 1] + src[i + 3][j + 1])) +
c30 * (src[i - 3][j] + src[i][j - 3] + src[i][j + 3] + src[i + 3][j]) +
c22 * (src[i - 2][j - 2] + src[i - 2][j + 2] + src[i + 2][j - 2] + src[i + 2][j + 2]) +
c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] *= val;
}
}
}
void gauss13x13mult(float** RESTRICT src, float** RESTRICT dst, const int tileSize, const float kernel[13][13])
{
const float c60 = kernel[0][6];
const float c53 = kernel[1][3];
const float c52 = kernel[1][4];
const float c51 = kernel[1][5];
const float c50 = kernel[1][6];
const float c44 = kernel[2][2];
const float c42 = kernel[2][4];
const float c41 = kernel[2][5];
const float c40 = kernel[2][6];
const float c33 = kernel[3][3];
const float c32 = kernel[3][4];
const float c31 = kernel[3][5];
const float c30 = kernel[3][6];
const float c22 = kernel[4][4];
const float c21 = kernel[4][5];
const float c20 = kernel[4][6];
const float c11 = kernel[5][5];
const float c10 = kernel[5][6];
const float c00 = kernel[6][6];
for (int i = 6; i < tileSize - 6; ++i) {
// I tried hand written SSE code but gcc vectorizes better
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 6; j < tileSize - 6; ++j) {
const float val = c60 * (src[i - 6][j] + src[i][j - 6] + src[i][j + 6] + src[i + 6][j]) +
c53 * ((src[i - 5][j - 3] + src[i - 5][j + 3]) + (src[i - 3][j - 5] + src[i - 3][j + 5]) + (src[i + 3][j - 5] + src[i + 3][j + 5]) + (src[i + 5][j - 3] + src[i + 5][j + 3])) +
c52 * ((src[i - 5][j - 2] + src[i - 5][j + 2]) + (src[i - 2][j - 5] + src[i - 2][j + 5]) + (src[i + 2][j - 5] + src[i + 2][j + 5]) + (src[i + 5][j - 2] + src[i + 5][j + 2])) +
c51 * ((src[i - 5][j - 1] + src[i - 5][j + 1]) + (src[i - 1][j - 5] + src[i - 1][j + 5]) + (src[i + 1][j - 5] + src[i + 1][j + 5]) + (src[i + 5][j - 1] + src[i + 5][j + 1])) +
c50 * ((src[i - 5][j] + src[i][j - 5] + src[i][j + 5] + src[i + 5][j]) + ((src[i - 4][j - 3] + src[i - 4][j + 3]) + (src[i - 3][j - 4] + src[i - 3][j + 4]) + (src[i + 3][j - 4] + src[i + 3][j + 4]) + (src[i + 4][j - 3] + src[i + 4][j + 3]))) +
c44 * (src[i - 4][j - 4] + src[i - 4][j + 4] + src[i + 4][j - 4] + src[i + 4][j + 4]) +
c42 * ((src[i - 4][j - 2] + src[i - 4][j + 2]) + (src[i - 2][j - 4] + src[i - 2][j + 4]) + (src[i + 2][j - 4] + src[i + 2][j + 4]) + (src[i + 4][j - 2] + src[i + 4][j + 2])) +
c41 * ((src[i - 4][j - 1] + src[i - 4][j + 1]) + (src[i - 1][j - 4] + src[i - 1][j + 4]) + (src[i + 1][j - 4] + src[i + 1][j + 4]) + (src[i + 4][j - 1] + src[i + 4][j + 1])) +
c40 * (src[i - 4][j] + src[i][j - 4] + src[i][j + 4] + src[i + 4][j]) +
c33 * (src[i - 3][j - 3] + src[i - 3][j + 3] + src[i + 3][j - 3] + src[i + 3][j + 3]) +
c32 * ((src[i - 3][j - 2] + src[i - 3][j + 2]) + (src[i - 2][j - 3] + src[i - 2][j + 3]) + (src[i + 2][j - 3] + src[i + 2][j + 3]) + (src[i + 3][j - 2] + src[i + 3][j + 2])) +
c31 * ((src[i - 3][j - 1] + src[i - 3][j + 1]) + (src[i - 1][j - 3] + src[i - 1][j + 3]) + (src[i + 1][j - 3] + src[i + 1][j + 3]) + (src[i + 3][j - 1] + src[i + 3][j + 1])) +
c30 * (src[i - 3][j] + src[i][j - 3] + src[i][j + 3] + src[i + 3][j]) +
c22 * (src[i - 2][j - 2] + src[i - 2][j + 2] + src[i + 2][j - 2] + src[i + 2][j + 2]) +
c21 * ((src[i - 2][j - 1] + src[i - 2][j + 1]) + (src[i - 1][j - 2] + src[i - 1][j + 2]) + (src[i + 1][j - 2] + src[i + 1][j + 2]) + (src[i + 2][j - 1] + src[i + 2][j + 1])) +
c20 * (src[i - 2][j] + src[i][j - 2] + src[i][j + 2] + src[i + 2][j]) +
c11 * (src[i - 1][j - 1] + src[i - 1][j + 1] + src[i + 1][j - 1] + src[i + 1][j + 1]) +
c10 * (src[i - 1][j] + src[i][j - 1] + src[i][j + 1] + src[i + 1][j]) +
c00 * src[i][j];
dst[i][j] *= val;
}
}
}
void buildClipMaskBayer(const float * const *rawData, int W, int H, float** clipMask, const float whites[2][2])
{
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int row = 0; row < H; ++row) {
for (int col = 0; col < W; ++col) {
clipMask[row][col] = 1.f;
}
}
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int row = 2; row < H - 2; ++row) {
float clip0 = whites[row & 1][0];
float clip1 = whites[row & 1][1];
for (int col = 2; col < W - 2; ++col) {
if (rawData[row][col] >= clip0) {
clipMask[row - 2][col - 1] = clipMask[row - 2][col] = clipMask[row - 2][col + 1] = 0.f;
clipMask[row - 1][col - 2] = clipMask[row - 1][col - 1] = clipMask[row - 1][col] = clipMask[row - 1][col + 1] = clipMask[row - 1][col + 2] = 0.f;
clipMask[row][col - 2] = clipMask[row][col - 1] = clipMask[row][col] = clipMask[row][col + 1] = clipMask[row][col + 2] = 0.f;
clipMask[row + 1][col - 2] = clipMask[row + 1][col - 1] = clipMask[row + 1][col] = clipMask[row + 1][col + 1] = clipMask[row + 1][col + 2] = 0.f;
clipMask[row + 2][col - 1] = clipMask[row + 2][col] = clipMask[row + 2][col + 1] = 0.f;
}
std::swap(clip0, clip1);
}
}
}
void buildClipMaskXtrans(const float * const *rawData, int W, int H, float** clipMask, const float whites[6][6])
{
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int row = 0; row < H; ++row) {
for (int col = 0; col < W; ++col) {
clipMask[row][col] = 1.f;
}
}
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int row = 2; row < H - 2; ++row) {
for (int col = 2; col < W - 2; ++col) {
const float clip = whites[row % 6][col % 6];
if (rawData[row][col] >= clip) {
clipMask[row - 2][col - 1] = clipMask[row - 2][col] = clipMask[row - 2][col + 1] = 0.f;
clipMask[row - 1][col - 2] = clipMask[row - 1][col - 1] = clipMask[row - 1][col] = clipMask[row - 1][col + 1] = clipMask[row - 1][col + 2] = 0.f;
clipMask[row][col - 2] = clipMask[row][col - 1] = clipMask[row][col] = clipMask[row][col + 1] = clipMask[row][col + 2] = 0.f;
clipMask[row + 1][col - 2] = clipMask[row + 1][col - 1] = clipMask[row + 1][col] = clipMask[row + 1][col + 1] = clipMask[row + 1][col + 2] = 0.f;
clipMask[row + 2][col - 1] = clipMask[row + 2][col] = clipMask[row + 2][col + 1] = 0.f;
}
}
}
}
void buildClipMaskMono(const float * const *rawData, int W, int H, float** clipMask, float white)
{
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int row = 0; row < H; ++row) {
for (int col = 0; col < W; ++col) {
clipMask[row][col] = 1.f;
}
}
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int row = 2; row < H - 2; ++row) {
for (int col = 2; col < W - 2; ++col) {
if (rawData[row][col] >= white) {
clipMask[row - 2][col - 1] = clipMask[row - 2][col] = clipMask[row - 2][col + 1] = 0.f;
clipMask[row - 1][col - 2] = clipMask[row - 1][col - 1] = clipMask[row - 1][col] = clipMask[row - 1][col + 1] = clipMask[row - 1][col + 2] = 0.f;
clipMask[row][col - 2] = clipMask[row][col - 1] = clipMask[row][col] = clipMask[row][col + 1] = clipMask[row][col + 2] = 0.f;
clipMask[row + 1][col - 2] = clipMask[row + 1][col - 1] = clipMask[row + 1][col] = clipMask[row + 1][col + 1] = clipMask[row + 1][col + 2] = 0.f;
clipMask[row + 2][col - 1] = clipMask[row + 2][col] = clipMask[row + 2][col + 1] = 0.f;
}
}
}
}
float calcRadiusBayer(const float * const *rawData, int W, int H, float lowerLimit, float upperLimit, const unsigned int fc[2])
{
float maxRatio = 1.f;
#ifdef _OPENMP
#pragma omp parallel for reduction(max:maxRatio) schedule(dynamic, 16)
#endif
for (int row = 4; row < H - 4; ++row) {
for (int col = 5 + (fc[row & 1] & 1); col < W - 4; col += 2) {
const float val00 = rawData[row][col];
if (val00 > 0.f) {
const float val1m1 = rawData[row + 1][col - 1];
const float val1p1 = rawData[row + 1][col + 1];
const float maxVal0 = std::max(val00, val1m1);
if (val1m1 > 0.f && maxVal0 > lowerLimit) {
const float minVal = std::min(val00, val1m1);
if (UNLIKELY(maxVal0 > maxRatio * minVal)) {
bool clipped = false;
if (maxVal0 == val00) { // check for influence by clipped green in neighborhood
if (rtengine::max(rawData[row - 1][col - 1], rawData[row - 1][col + 1], val1p1) >= upperLimit) {
clipped = true;
}
} else { // check for influence by clipped green in neighborhood
if (rtengine::max(rawData[row][col - 2], val00, rawData[row + 2][col - 2], rawData[row + 2][col]) >= upperLimit) {
clipped = true;
}
}
if (!clipped) {
maxRatio = maxVal0 / minVal;
}
}
}
const float maxVal1 = std::max(val00, val1p1);
if (val1p1 > 0.f && maxVal1 > lowerLimit) {
const float minVal = std::min(val00, val1p1);
if (UNLIKELY(maxVal1 > maxRatio * minVal)) {
if (maxVal1 == val00) { // check for influence by clipped green in neighborhood
if (rtengine::max(rawData[row - 1][col - 1], rawData[row - 1][col + 1], val1p1) >= upperLimit) {
continue;
}
} else { // check for influence by clipped green in neighborhood
if (rtengine::max(val00, rawData[row][col + 2], rawData[row + 2][col], rawData[row + 2][col + 2]) >= upperLimit) {
continue;
}
}
maxRatio = maxVal1 / minVal;
}
}
}
}
}
return std::sqrt(1.f / std::log(maxRatio));
}
float calcRadiusXtrans(const float * const *rawData, int W, int H, float lowerLimit, float upperLimit, unsigned int starty, unsigned int startx)
{
float maxRatio = 1.f;
#ifdef _OPENMP
#pragma omp parallel for reduction(max:maxRatio) schedule(dynamic, 16)
#endif
for (int row = starty + 2; row < H - 4; row += 3) {
for (int col = startx + 2; col < W - 4; col += 3) {
const float valp1p1 = rawData[row + 1][col + 1];
const bool squareClipped = rtengine::max(valp1p1, rawData[row + 1][col + 2], rawData[row + 2][col + 1], rawData[row + 2][col + 2]) >= upperLimit;
const float greenSolitary = rawData[row][col];
if (greenSolitary > 1.f && std::max(rawData[row - 1][col - 1], rawData[row - 1][col + 1]) < upperLimit) {
if (greenSolitary < upperLimit) {
const float valp1m1 = rawData[row + 1][col - 1];
if (valp1m1 > 1.f && rtengine::max(rawData[row + 1][col - 2], valp1m1, rawData[row + 2][col - 2], rawData[row + 1][col - 1]) < upperLimit) {
const float maxVal = std::max(greenSolitary, valp1m1);
if (maxVal > lowerLimit) {
const float minVal = std::min(greenSolitary, valp1m1);
if (UNLIKELY(maxVal > maxRatio * minVal)) {
maxRatio = maxVal / minVal;
}
}
}
if (valp1p1 > 1.f && !squareClipped) {
const float maxVal = std::max(greenSolitary, valp1p1);
if (maxVal > lowerLimit) {
const float minVal = std::min(greenSolitary, valp1p1);
if (UNLIKELY(maxVal > maxRatio * minVal)) {
maxRatio = maxVal / minVal;
}
}
}
}
}
if (!squareClipped) {
const float valp2p2 = rawData[row + 2][col + 2];
if (valp2p2 > 1.f) {
if (valp1p1 > 1.f) {
const float maxVal = std::max(valp1p1, valp2p2);
if (maxVal > lowerLimit) {
const float minVal = std::min(valp1p1, valp2p2);
if (UNLIKELY(maxVal > maxRatio * minVal)) {
maxRatio = maxVal / minVal;
}
}
}
const float greenSolitaryRight = rawData[row + 3][col + 3];
if (rtengine::max(greenSolitaryRight, rawData[row + 4][col + 2], rawData[row + 4][col + 4]) < upperLimit) {
if (greenSolitaryRight > 1.f) {
const float maxVal = std::max(greenSolitaryRight, valp2p2);
if (maxVal > lowerLimit) {
const float minVal = std::min(greenSolitaryRight, valp2p2);
if (UNLIKELY(maxVal > maxRatio * minVal)) {
maxRatio = maxVal / minVal;
}
}
}
}
}
const float valp1p2 = rawData[row + 1][col + 2];
const float valp2p1 = rawData[row + 2][col + 1];
if (valp2p1 > 1.f) {
if (valp1p2 > 1.f) {
const float maxVal = std::max(valp1p2, valp2p1);
if (maxVal > lowerLimit) {
const float minVal = std::min(valp1p2, valp2p1);
if (UNLIKELY(maxVal > maxRatio * minVal)) {
maxRatio = maxVal / minVal;
}
}
}
const float greenSolitaryLeft = rawData[row + 3][col];
if (rtengine::max(greenSolitaryLeft, rawData[row + 4][col - 1], rawData[row + 4][col + 1]) < upperLimit) {
if (greenSolitaryLeft > 1.f) {
const float maxVal = std::max(greenSolitaryLeft, valp2p1);
if (maxVal > lowerLimit) {
const float minVal = std::min(greenSolitaryLeft, valp2p1);
if (UNLIKELY(maxVal > maxRatio * minVal)) {
maxRatio = maxVal / minVal;
}
}
}
}
}
}
}
}
return std::sqrt(1.f / std::log(maxRatio));
}
bool checkForStop(float** tmpIThr, float** iterCheck, int fullTileSize, int border)
{
for (int ii = border; ii < fullTileSize - border; ++ii) {
#ifdef __SSE2__
for (int jj = border; jj < fullTileSize - border; jj += 4) {
if (UNLIKELY(_mm_movemask_ps((vfloat)vmaskf_lt(LVFU(tmpIThr[ii][jj]), LVFU(iterCheck[ii - border][jj - border]))))) {
return true;
}
}
#else
for (int jj = border; jj < fullTileSize - border; ++jj) {
if (tmpIThr[ii][jj] < iterCheck[ii - border][jj - border]) {
return true;
}
}
#endif
}
return false;
}
void CaptureDeconvSharpening (float** luminance, const float* const * oldLuminance, const float * const * blend, int W, int H, float sigma, float sigmaCornerOffset, int iterations, bool checkIterStop, rtengine::ProgressListener* plistener, double startVal, double endVal)
{
BENCHFUN
const bool is9x9 = (sigma <= 1.5f && sigmaCornerOffset == 0.f);
const bool is7x7 = (sigma <= 1.15f && sigmaCornerOffset == 0.f);
const bool is5x5 = (sigma <= 0.84f && sigmaCornerOffset == 0.f);
const bool is3x3 = (sigma < 0.6f && sigmaCornerOffset == 0.f);
float kernel13[13][13];
float kernel9[9][9];
float kernel7[7][7];
float kernel5[5][5];
float kernel3[3][3];
if (is3x3) {
compute3x3kernel(sigma, kernel3);
} else if (is5x5) {
compute5x5kernel(sigma, kernel5);
} else if (is7x7) {
compute7x7kernel(sigma, kernel7);
} else if (is9x9) {
compute9x9kernel(sigma, kernel9);
} else {
compute13x13kernel(sigma, kernel13);
}
constexpr int tileSize = 32;
const int border = (is3x3 || is5x5 || is7x7) ? iterations <= 30 ? 5 : 7 : 8;
const int fullTileSize = tileSize + 2 * border;
const float cornerRadius = std::min<float>(2.f, sigma + sigmaCornerOffset);
const float cornerDistance = sqrt(rtengine::SQR(W * 0.5f) + rtengine::SQR(H * 0.5f));
const float distanceFactor = (cornerRadius - sigma) / cornerDistance;
double progress = startVal;
const double progressStep = (endVal - startVal) * rtengine::SQR(tileSize) / (W * H);
constexpr float minBlend = 0.01f;
#ifdef _OPENMP
#pragma omp parallel
#endif
{
int progresscounter = 0;
array2D<float> tmpIThr(fullTileSize, fullTileSize);
array2D<float> tmpThr(fullTileSize, fullTileSize);
tmpThr.fill(1.f);
array2D<float> lumThr(fullTileSize, fullTileSize);
array2D<float> iterCheck(tileSize, tileSize);
#ifdef _OPENMP
#pragma omp for schedule(dynamic,16) collapse(2)
#endif
for (int i = border; i < H - border; i+= tileSize) {
for(int j = border; j < W - border; j+= tileSize) {
const bool endOfCol = (i + tileSize + border) >= H;
const bool endOfRow = (j + tileSize + border) >= W;
// fill tiles
if (endOfRow || endOfCol) {
// special handling for small tiles at end of row or column
float maxVal = 0.f;
if (checkIterStop) {
for (int k = 0, ii = endOfCol ? H - fullTileSize + border : i; k < tileSize; ++k, ++ii) {
for (int l = 0, jj = endOfRow ? W - fullTileSize + border : j; l < tileSize; ++l, ++jj) {
iterCheck[k][l] = oldLuminance[ii][jj] * blend[ii][jj] * 0.5f;
maxVal = std::max(maxVal, blend[ii][jj]);
}
}
} else {
for (int k = 0, ii = endOfCol ? H - fullTileSize + border : i; k < tileSize; ++k, ++ii) {
for (int l = 0, jj = endOfRow ? W - fullTileSize + border : j; l < tileSize; ++l, ++jj) {
maxVal = std::max(maxVal, blend[ii][jj]);
}
}
}
if (maxVal < minBlend) {
// no pixel of the tile has a blend factor >= minBlend => skip the tile
continue;
}
for (int k = 0, ii = endOfCol ? H - fullTileSize : i - border; k < fullTileSize; ++k, ++ii) {
for (int l = 0, jj = endOfRow ? W - fullTileSize : j - border; l < fullTileSize; ++l, ++jj) {
tmpIThr[k][l] = oldLuminance[ii][jj];
lumThr[k][l] = oldLuminance[ii][jj];
}
}
} else {
float maxVal = 0.f;
if (checkIterStop) {
for (int ii = 0; ii < tileSize; ++ii) {
for (int jj = 0; jj < tileSize; ++jj) {
iterCheck[ii][jj] = oldLuminance[i + ii][j + jj] * blend[i + ii][j + jj] * 0.5f;
maxVal = std::max(maxVal, blend[i + ii][j + jj]);
}
}
} else {
for (int ii = 0; ii < tileSize; ++ii) {
for (int jj = 0; jj < tileSize; ++jj) {
maxVal = std::max(maxVal, blend[i + ii][j + jj]);
}
}
}
if (maxVal < minBlend) {
// no pixel of the tile has a blend factor >= minBlend => skip the tile
continue;
}
for (int ii = i; ii < i + fullTileSize; ++ii) {
for (int jj = j; jj < j + fullTileSize; ++jj) {
tmpIThr[ii - i][jj - j] = oldLuminance[ii - border][jj - border];
lumThr[ii - i][jj - j] = oldLuminance[ii - border][jj - border];
}
}
}
if (is3x3) {
for (int k = 0; k < iterations; ++k) {
// apply 3x3 gaussian blur and divide luminance by result of gaussian blur
gauss3x3div(tmpIThr, tmpThr, lumThr, fullTileSize, kernel3);
gauss3x3mult(tmpThr, tmpIThr, fullTileSize, kernel3);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
} else if (is5x5) {
for (int k = 0; k < iterations; ++k) {
// apply 5x5 gaussian blur and divide luminance by result of gaussian blur
gauss5x5div(tmpIThr, tmpThr, lumThr, fullTileSize, kernel5);
gauss5x5mult(tmpThr, tmpIThr, fullTileSize, kernel5);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
} else if (is7x7) {
for (int k = 0; k < iterations; ++k) {
// apply 5x5 gaussian blur and divide luminance by result of gaussian blur
gauss7x7div(tmpIThr, tmpThr, lumThr, fullTileSize, kernel7);
gauss7x7mult(tmpThr, tmpIThr, fullTileSize, kernel7);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
} else if (is9x9) {
for (int k = 0; k < iterations; ++k) {
// apply 5x5 gaussian blur and divide luminance by result of gaussian blur
gauss9x9div(tmpIThr, tmpThr, lumThr, fullTileSize, kernel9);
gauss9x9mult(tmpThr, tmpIThr, fullTileSize, kernel9);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
} else {
if (sigmaCornerOffset != 0.f) {
const float distance = sqrt(rtengine::SQR(i + tileSize / 2 - H / 2) + rtengine::SQR(j + tileSize / 2 - W / 2));
const float sigmaTile = static_cast<float>(sigma) + distanceFactor * distance;
if (sigmaTile >= 0.4f) {
if (sigmaTile > 1.5f) { // have to use 13x13 kernel
float lkernel13[13][13];
compute13x13kernel(static_cast<float>(sigma) + distanceFactor * distance, lkernel13);
for (int k = 0; k < iterations; ++k) {
// apply 13x13 gaussian blur and divide luminance by result of gaussian blur
gauss13x13div(tmpIThr, tmpThr, lumThr, fullTileSize, lkernel13);
gauss13x13mult(tmpThr, tmpIThr, fullTileSize, lkernel13);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
} else if (sigmaTile > 1.15f) { // have to use 9x9 kernel
float lkernel9[9][9];
compute9x9kernel(static_cast<float>(sigma) + distanceFactor * distance, lkernel9);
for (int k = 0; k < iterations; ++k) {
// apply 9x9 gaussian blur and divide luminance by result of gaussian blur
gauss9x9div(tmpIThr, tmpThr, lumThr, fullTileSize, lkernel9);
gauss9x9mult(tmpThr, tmpIThr, fullTileSize, lkernel9);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
} else if (sigmaTile > 0.84f) { // have to use 7x7 kernel
float lkernel7[7][7];
compute7x7kernel(static_cast<float>(sigma) + distanceFactor * distance, lkernel7);
for (int k = 0; k < iterations; ++k) {
// apply 7x7 gaussian blur and divide luminance by result of gaussian blur
gauss7x7div(tmpIThr, tmpThr, lumThr, fullTileSize, lkernel7);
gauss7x7mult(tmpThr, tmpIThr, fullTileSize, lkernel7);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
} else { // can use 5x5 kernel
float lkernel5[5][5];
compute5x5kernel(static_cast<float>(sigma) + distanceFactor * distance, lkernel5);
for (int k = 0; k < iterations; ++k) {
// apply 7x7 gaussian blur and divide luminance by result of gaussian blur
gauss5x5div(tmpIThr, tmpThr, lumThr, fullTileSize, lkernel5);
gauss5x5mult(tmpThr, tmpIThr, fullTileSize, lkernel5);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
}
}
} else {
for (int k = 0; k < iterations; ++k) {
// apply 13x13 gaussian blur and divide luminance by result of gaussian blur
gauss13x13div(tmpIThr, tmpThr, lumThr, fullTileSize, kernel13);
gauss13x13mult(tmpThr, tmpIThr, fullTileSize, kernel13);
if (checkIterStop && k < iterations - 1 && checkForStop(tmpIThr, iterCheck, fullTileSize, border)) {
break;
}
}
}
}
if (endOfRow || endOfCol) {
// special handling for small tiles at end of row or column
for (int k = border, ii = endOfCol ? H - fullTileSize : i - border; k < fullTileSize - border; ++k) {
for (int l = border, jj = endOfRow ? W - fullTileSize : j - border; l < fullTileSize - border; ++l) {
luminance[ii + k][jj + l] = rtengine::intp(blend[ii + k][jj + l], tmpIThr[k][l], luminance[ii + k][jj + l]);
}
}
} else {
for (int ii = border; ii < fullTileSize - border; ++ii) {
for (int jj = border; jj < fullTileSize - border; ++jj) {
luminance[i + ii - border][j + jj - border] = rtengine::intp(blend[i + ii - border][j + jj - border], tmpIThr[ii][jj], luminance[i + ii - border][j + jj - border]);
}
}
}
if (plistener) {
if (++progresscounter % 32 == 0) {
#ifdef _OPENMP
#pragma omp critical(csprogress)
#endif
{
progress += 32.0 * progressStep;
progress = rtengine::min(progress, endVal);
plistener->setProgress(progress);
}
}
}
}
}
}
}
}
namespace rtengine
{
void RawImageSource::captureSharpening(const procparams::CaptureSharpeningParams &sharpeningParams, bool showMask, double &conrastThreshold, double &radius) {
if (!(ri->getSensorType() == ST_BAYER || ri->getSensorType() == ST_FUJI_XTRANS || ri->get_colors() == 1)) {
return;
}
if (plistener) {
plistener->setProgressStr(M("TP_PDSHARPENING_LABEL"));
plistener->setProgress(0.0);
}
BENCHFUN
constexpr float xyz_rgb[3][3] = { // XYZ from RGB
{ 0.412453, 0.357580, 0.180423 },
{ 0.212671, 0.715160, 0.072169 },
{ 0.019334, 0.119193, 0.950227 }
};
float contrast = conrastThreshold / 100.0;
const float clipVal = (ri->get_white(1) - ri->get_cblack(1)) * scale_mul[1];
const array2D<float>& redVals = redCache ? *redCache : red;
const array2D<float>& greenVals = greenCache ? *greenCache : green;
const array2D<float>& blueVals = blueCache ? *blueCache : blue;
array2D<float> clipMask(W, H);
constexpr float clipLimit = 0.95f;
constexpr float maxSigma = 2.f;
if (getSensorType() == ST_BAYER) {
const float whites[2][2] = {
{(ri->get_white(FC(0,0)) - c_black[FC(0,0)]) * scale_mul[FC(0,0)] * clipLimit, (ri->get_white(FC(0,1)) - c_black[FC(0,1)]) * scale_mul[FC(0,1)] * clipLimit},
{(ri->get_white(FC(1,0)) - c_black[FC(1,0)]) * scale_mul[FC(1,0)] * clipLimit, (ri->get_white(FC(1,1)) - c_black[FC(1,1)]) * scale_mul[FC(1,1)] * clipLimit}
};
buildClipMaskBayer(rawData, W, H, clipMask, whites);
const unsigned int fc[2] = {FC(0,0), FC(1,0)};
if (sharpeningParams.autoRadius) {
radius = std::min(calcRadiusBayer(rawData, W, H, 1000.f, clipVal, fc), maxSigma);
}
} else if (getSensorType() == ST_FUJI_XTRANS) {
float whites[6][6];
for (int i = 0; i < 6; ++i) {
for (int j = 0; j < 6; ++j) {
const auto color = ri->XTRANSFC(i, j);
whites[i][j] = (ri->get_white(color) - c_black[color]) * scale_mul[color] * clipLimit;
}
}
buildClipMaskXtrans(rawData, W, H, clipMask, whites);
bool found = false;
int i, j;
for (i = 6; i < 12 && !found; ++i) {
for (j = 6; j < 12 && !found; ++j) {
if (ri->XTRANSFC(i, j) == 1) {
if (ri->XTRANSFC(i, j - 1) != ri->XTRANSFC(i, j + 1)) {
if (ri->XTRANSFC(i - 1, j) != 1) {
if (ri->XTRANSFC(i, j - 1) != 1) {
found = true;
break;
}
}
}
}
}
}
if (sharpeningParams.autoRadius) {
radius = std::min(calcRadiusXtrans(rawData, W, H, 1000.f, clipVal, i, j), maxSigma);
}
} else if (ri->get_colors() == 1) {
buildClipMaskMono(rawData, W, H, clipMask, (ri->get_white(0) - c_black[0]) * scale_mul[0] * clipLimit);
if (sharpeningParams.autoRadius) {
const unsigned int fc[2] = {0, 0};
radius = std::min(calcRadiusBayer(rawData, W, H, 1000.f, clipVal, fc), maxSigma);
}
}
if (std::isnan(radius)) {
return;
}
if (showMask) {
array2D<float>& L = blue; // blue will be overridden anyway => we can use its buffer to store L
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < H; ++i) {
Color::RGB2L(redVals[i], greenVals[i], blueVals[i], L[i], xyz_rgb, W);
}
if (plistener) {
plistener->setProgress(0.1);
}
buildBlendMask(L, clipMask, W, H, contrast, sharpeningParams.autoContrast, clipMask);
if (plistener) {
plistener->setProgress(0.2);
}
conrastThreshold = contrast * 100.f;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < H; ++i) {
for (int j = 0; j < W; ++j) {
red[i][j] = green[i][j] = blue[i][j] = clipMask[i][j] * 16384.f;
}
}
if (plistener) {
plistener->setProgress(1.0);
}
return;
}
std::unique_ptr<array2D<float>> Lbuffer;
if (!redCache) {
Lbuffer.reset(new array2D<float>(W, H));
}
std::unique_ptr<array2D<float>> YOldbuffer;
if (!greenCache) {
YOldbuffer.reset(new array2D<float>(W, H));
}
std::unique_ptr<array2D<float>> YNewbuffer;
if (!blueCache) {
YNewbuffer.reset(new array2D<float>(W, H));
}
array2D<float>& L = Lbuffer.get() ? *Lbuffer.get() : red;
array2D<float>& YOld = YOldbuffer.get() ? *YOldbuffer.get() : green;
array2D<float>& YNew = YNewbuffer.get() ? *YNewbuffer.get() : blue;
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int i = 0; i < H; ++i) {
Color::RGB2L(redVals[i], greenVals[i], blueVals[i], L[i], xyz_rgb, W);
Color::RGB2Y(redVals[i], greenVals[i], blueVals[i], YOld[i], YNew[i], W);
}
if (plistener) {
plistener->setProgress(0.1);
}
// calculate contrast based blend factors to reduce sharpening in regions with low contrast
buildBlendMask(L, clipMask, W, H, contrast, sharpeningParams.autoContrast, clipMask);
if (plistener) {
plistener->setProgress(0.2);
}
conrastThreshold = contrast * 100.f;
CaptureDeconvSharpening(YNew, YOld, clipMask, W, H, radius, sharpeningParams.deconvradiusOffset, sharpeningParams.deconviter, sharpeningParams.deconvitercheck, plistener, 0.2, 0.9);
if (plistener) {
plistener->setProgress(0.9);
}
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 16)
#endif
for (int i = 0; i < H; ++i) {
#if defined(__clang__)
#pragma clang loop vectorize(assume_safety)
#elif defined(__GNUC__)
#pragma GCC ivdep
#endif
for (int j = 0; j < W; ++j) {
const float factor = YNew[i][j] / std::max(YOld[i][j], 0.00001f);
red[i][j] = redVals[i][j] * factor;
green[i][j] = greenVals[i][j] * factor;
blue[i][j] = blueVals[i][j] * factor;
}
}
if (plistener) {
plistener->setProgress(1.0);
}
rgbSourceModified = false;
}
} /* namespace */
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