rawTherapee/rtengine/pdaflinesfilter.cc
2018-03-09 20:18:37 +01:00

245 lines
7.0 KiB
C++

/* -*- C++ -*-
*
* This file is part of RawTherapee.
*
* Copyright (c) 2018 Alberto Griggio <alberto.griggio@gmail.com>
*
* 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 "pdaflinesfilter.h"
#include "settings.h"
#include <iostream>
#include "camconst.h"
namespace rtengine {
extern const Settings *settings;
namespace {
class PDAFGreenEqulibrateThreshold: public RawImageSource::GreenEqulibrateThreshold {
static constexpr float BASE_THRESHOLD = 0.5f;
static constexpr int TILE_SIZE = 200;
static constexpr float AREA = TILE_SIZE * TILE_SIZE;
static constexpr int PIXEL_COUNT_FACTOR = 12;
public:
PDAFGreenEqulibrateThreshold(int w, int h):
RawImageSource::GreenEqulibrateThreshold(BASE_THRESHOLD),
w_(w),
h_(h)
{
int ctiles = w_ / TILE_SIZE;
int rtiles = h_ / TILE_SIZE;
tiles_.resize(rtiles+1, std::vector<int>(ctiles+1));
}
void increment(int row, int col)
{
auto &r = tiles_[row / TILE_SIZE];
++r[col / TILE_SIZE];
}
float operator()(int row, int col) const
{
int y = row / TILE_SIZE;
int x = col / TILE_SIZE;
int cy = y * TILE_SIZE + TILE_SIZE/2;
int cx = x * TILE_SIZE + TILE_SIZE/2;
int x1 = col > cx ? x+1 : x-1;
int y1 = row > cy ? y+1 : y-1;
float fxy = tile_factor(y, x);
float f = 0.f;
if (x1 >= 0 && size_t(x1) < tiles_[y].size()) {
if (y1 >= 0 && size_t(y1) < tiles_.size()) {
// bilinear interpolation
float fx1y = tile_factor(y, x1);
float fx1y1 = tile_factor(y1, x1);
float fxy1 = tile_factor(y1, x);
// x direction
int d = std::abs(cx - col);
float f1 = fxy * float(TILE_SIZE - d)/float(TILE_SIZE) + fx1y * float(d)/float(TILE_SIZE);
float f2 = fxy1 * float(TILE_SIZE - d)/float(TILE_SIZE) + fx1y1 * float(d)/float(TILE_SIZE);
// y direction
d = std::abs(cy - row);
f = f1 * float(TILE_SIZE - d)/float(TILE_SIZE) + f2 * float(d)/float(TILE_SIZE);
} else {
float f2 = tile_factor(y, x1);
int d = std::abs(cx - col);
f = fxy * float(TILE_SIZE - d)/float(TILE_SIZE) + f2 * float(d)/float(TILE_SIZE);
}
} else if (y1 >= 0 && size_t(y1) < tiles_.size()) {
float f2 = tile_factor(y1, x);
int d = std::abs(cy - row);
f = fxy * float(TILE_SIZE - d)/float(TILE_SIZE) + f2 * float(d)/float(TILE_SIZE);
} else {
f = fxy;
}
return thresh_ * f;
}
void print() const
{
std::cout << "PDAFGreenEqulibrateThreshold:\n";
for (size_t row = 0; row < tiles_.size(); ++row) {
for (size_t col = 0; col < tiles_.size(); ++col) {
std::cout << " " << tile_factor(row, col);
}
std::cout << std::endl;
}
}
private:
float tile_factor(int y, int x) const
{
return float(tiles_[y][x] * PIXEL_COUNT_FACTOR) / AREA;
}
int w_;
int h_;
std::vector<std::vector<int>> tiles_;
};
} // namespace
PDAFLinesFilter::PDAFLinesFilter(RawImage *ri):
ri_(ri),
W_(ri->get_width()),
H_(ri->get_height())
{
gthresh_ = new PDAFGreenEqulibrateThreshold(W_, H_);
CameraConstantsStore* ccs = CameraConstantsStore::getInstance();
CameraConst *cc = ccs->get(ri_->get_maker().c_str(), ri_->get_model().c_str());
if (cc) {
cc->get_pdafPattern(pattern_);
if(!pattern_.empty()) {
offset_ = cc->get_pdafOffset();
}
}
}
PDAFLinesFilter::~PDAFLinesFilter()
{
delete gthresh_;
}
RawImageSource::GreenEqulibrateThreshold &PDAFLinesFilter::greenEqThreshold()
{
return *gthresh_;
}
int PDAFLinesFilter::markLine(array2D<float> &rawData, PixelsMap &bpMap, int y)
{
rowmap_.clear();
rowmap_.resize((W_+1)/2, false);
int marked = 0;
for (int x = 1; x < W_-1; ++x) {
if (ri_->FC(y, x) == 1) {
const float
g0 = rawData[y][x],
g1 = rawData[y-1][x+1],
g2 = rawData[y+1][x+1],
g3 = rawData[y-1][x-1],
g4 = rawData[y+1][x-1];
if (g0 > max(g1, g2, g3, g4)) {
const float gu = (g2 + g4) / 2.f;
const float gd = (g1 + g3) / 2.f;
const float gM = max(gu, gd);
const float gm = min(gu, gd);
const float d = (gM - gm) / gM;
if (d < 0.2f && (g0 - (gm + gM)/2.f) / g0 > std::min(d, 0.1f)) {
rowmap_[x/2] = true;
}
}
}
}
PDAFGreenEqulibrateThreshold *m = static_cast<PDAFGreenEqulibrateThreshold *>(gthresh_);
for (int x = 2; x < W_-2; ++x) {
if (ri_->FC(y, x) == 1) {
const int i = x/2;
if (rowmap_[i-1] && rowmap_[i] && rowmap_[i+1]) {
for (int xx = x-2; xx <= x+2; ++xx) {
if (!bpMap.get(xx, y)) {
bpMap.set(xx, y);
m->increment(y, xx);
++marked;
}
}
}
}
}
return marked;
}
int PDAFLinesFilter::mark(array2D<float> &rawData, PixelsMap &bpMap)
{
if (pattern_.empty()) {
if (settings->verbose) {
std::cout << "no PDAF pattern known for " << ri_->get_maker() << " " << ri_->get_model() << std::endl;
}
return 0;
}
size_t idx = 0;
int off = offset_;
int found = 0;
for (int y = 1; y < H_-1; ++y) {
int yy = pattern_[idx] + off;
if (y == yy) {
int n = markLine(rawData, bpMap, y) + markLine(rawData, bpMap, y-1) + markLine(rawData, bpMap, y+1);
if (n) {
found += n;
if (settings->verbose) {
std::cout << "marked " << n << " pixels in PDAF line at " << y << std::endl;
}
}
} else if (y > yy) {
++idx;
if (idx >= pattern_.size()) {
idx = 0;
off += pattern_.back();
}
}
}
if (settings->verbose) {
static_cast<PDAFGreenEqulibrateThreshold *>(gthresh_)->print();
}
return found;
}
} // namespace rtengine