65b411b23d
- Add CLAUDE.md with project overview, tech stack, build commands, architecture description, coding standards, and sample images section - Add full directory structure: src/, docs/, tests/, import/ - Add CMakeLists.txt with C++20, OpenCV/LibRaw/Qt6 dependencies, converter_core static lib, optional GUI, and GTest tests - Add architecture documentation: ARCHITECTURE.md, PIPELINE.md, MODULES.md - Add source skeletons for all pipeline stages: RawLoader, Preprocessor, NegativeDetector, Inverter, ColorCorrector, CropProcessor, OutputWriter, Pipeline, MainWindow, CliRunner, main.cpp - Add initial test stubs for pipeline and rawloader - Add sample ARW files in import/ for integration testing Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
60 lines
1.8 KiB
C++
60 lines
1.8 KiB
C++
#include "Inverter.h"
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#include <opencv2/core.hpp>
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#include <opencv2/imgproc.hpp>
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#include <format>
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#include <iostream>
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namespace photoconv {
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StageResult Inverter::process(ImageData data) const {
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if (data.rgb.empty()) {
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return std::unexpected(make_error(
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ErrorCode::InversionFailed, "Inverter received empty image"));
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}
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switch (data.film_type) {
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case FilmType::ColorNegative:
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std::cout << "[Invert] Inverting color negative (C-41)" << std::endl;
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return invert_color_negative(std::move(data));
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case FilmType::BWNegative:
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std::cout << "[Invert] Inverting B&W negative" << std::endl;
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return invert_bw_negative(std::move(data));
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case FilmType::ColorPositive:
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case FilmType::BWPositive:
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std::cout << "[Invert] Positive detected, skipping inversion" << std::endl;
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return data;
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case FilmType::Unknown:
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std::cout << "[Invert] Unknown film type, applying default inversion" << std::endl;
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return invert_color_negative(std::move(data));
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}
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return data; // Unreachable, but satisfies compiler
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}
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StageResult Inverter::invert_color_negative(ImageData data) {
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// TODO: Implement proper C-41 orange mask removal.
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// Strategy:
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// 1. Sample unexposed border regions to characterize the orange mask
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// 2. Compute per-channel mask color (typically R > G > B)
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// 3. Subtract mask contribution from each channel
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// 4. Apply bitwise_not inversion
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// 5. Apply per-channel scaling to normalize levels
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// Basic inversion for now
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cv::bitwise_not(data.rgb, data.rgb);
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return data;
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}
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StageResult Inverter::invert_bw_negative(ImageData data) {
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cv::bitwise_not(data.rgb, data.rgb);
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return data;
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}
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} // namespace photoconv
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