Add a CenterRadiusMetadataLensCorrection helper class that will be implemented by vendor specific corrections based on center radius.
151 lines
4.1 KiB
C++
151 lines
4.1 KiB
C++
/*
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* This file is part of RawTherapee.
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*
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* Copyright (c) 2024 Rawtherapee developers
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*
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* RawTherapee is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* RawTherapee 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
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with RawTherapee. If not, see <https://www.gnu.org/licenses/>.
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*/
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#include <array>
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#include <iostream>
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#include "lensmetadata.h"
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namespace rtengine
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{
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CenterRadiusMetadataLensCorrection::CenterRadiusMetadataLensCorrection(const FramesMetaData *meta) :
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swap_xy(false)
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{
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metadata = Exiv2Metadata(meta->getFileName());
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metadata.load();
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}
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void CenterRadiusMetadataLensCorrection::initCorrections(int width, int height, const procparams::CoarseTransformParams &coarse, int rawRotationDeg)
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{
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if (rawRotationDeg >= 0) {
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int rot = (coarse.rotate + rawRotationDeg) % 360;
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swap_xy = (rot == 90 || rot == 270);
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if (swap_xy) {
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std::swap(width, height);
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}
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}
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w2 = width * 0.5f;
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h2 = height * 0.5f;
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rf = 1 / std::sqrt(SQR(w2) + SQR(h2));
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}
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void CenterRadiusMetadataLensCorrection::process(double &x, double &y, int cx, int cy, int channel, bool dist, bool ca) const
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{
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double xx = x + cx;
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double yy = y + cy;
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if (swap_xy) {
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std::swap(xx, yy);
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}
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double xc = xx - w2;
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double yc = yy - h2;
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double rout = rf * std::sqrt(SQR(xc) + SQR(yc));
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double cf = 1;
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if (dist && ca) {
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cf = distortionAndCACorrectionFactor(rout, channel);
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} else if (dist) {
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cf = distortionCorrectionFactor(rout);
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} else if (ca) {
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cf = caCorrectionFactor(rout, channel);
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}
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x = cf * xc + w2;
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y = cf * yc + h2;
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if (swap_xy) {
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std::swap(x, y);
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}
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x -= cx;
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y -= cy;
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}
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void CenterRadiusMetadataLensCorrection::correctDistortionAndCA(double &x, double &y, int cx, int cy, int channel) const
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{
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if (!hasDistortionCorrection() || !hasCACorrection()) {
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return;
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}
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process(x, y, cx, cy, channel, true, true);
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}
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void CenterRadiusMetadataLensCorrection::correctDistortion(double &x, double &y, int cx, int cy) const
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{
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if (!hasDistortionCorrection()) {
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return;
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}
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process(x, y, cx, cy, 1, true, false);
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}
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void CenterRadiusMetadataLensCorrection::correctCA(double &x, double &y, int cx, int cy, int channel) const
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{
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if (!hasCACorrection()) {
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return;
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}
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process(x, y, cx, cy, channel, false, true);
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}
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void CenterRadiusMetadataLensCorrection::processVignetteNChannels(int width, int height, float **rawData, int channels) const
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{
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if (!hasVignettingCorrection()) {
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return;
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}
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for (int y = 0; y < height; ++y) {
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for (int x = 0; x < width; ++x) {
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double xc = x - w2;
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double yc = y - h2;
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double sf = vignettingCorrectionFactor(rf * std::sqrt(SQR(xc) + SQR(yc)));
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for (int c = 0; c < channels; c++) {
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rawData[y][x + c] *= sf;
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}
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}
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}
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}
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void CenterRadiusMetadataLensCorrection::processVignette(int width, int height, float **rawData) const
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{
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return processVignetteNChannels(width, height, rawData, 1);
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}
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void CenterRadiusMetadataLensCorrection::processVignette3Channels(int width, int height, float **rawData) const
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{
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return processVignetteNChannels(width, height, rawData, 3);
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}
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std::unique_ptr<MetadataLensCorrection> MetadataLensCorrectionFinder::findCorrection(const FramesMetaData *meta)
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{
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static const std::unordered_set<std::string> makers = {};
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std::string make = Glib::ustring(meta->getMake()).uppercase();
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if (makers.find(make) == makers.end()) {
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return nullptr;
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}
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std::unique_ptr<MetadataLensCorrection> correction;
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return correction;
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}
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} // namespace rtengine
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