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69 lines
1.6 KiB
69 lines
1.6 KiB
//
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// Tonemapper.hpp
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// AwesomeAttractorND
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//
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// Created by Joshua Moerman on 10/28/11.
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// Copyright 2011 Vadovas. All rights reserved.
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//
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#ifndef AwesomeAttractorND_Tonemapper_hpp
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#define AwesomeAttractorND_Tonemapper_hpp
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#include <algorithm>
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#include <numeric>
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#include <cmath>
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namespace Tonemappers {
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struct Normalizer {
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Normalizer()
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: max(0)
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{}
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template <typename C>
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void analyse(C const & canvas){
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max = *std::max_element(canvas.begin(), canvas.end());
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}
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template <typename C, typename I>
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void process(C const & canvas, I & image){
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for (typename C::const_iterator it = canvas.begin(); it != canvas.end(); ++it) {
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const double grayscale = get_value(*it);
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image << typename I::pixel(grayscale, grayscale, grayscale);
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}
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}
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protected:
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double get_value(unsigned int n){
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return (double) n / (double) max;
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}
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unsigned int max;
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};
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struct GammaCorrector : public Normalizer {
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template <typename C>
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void analyse(C const & canvas){
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Normalizer::analyse(canvas);
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const unsigned int sum = std::accumulate(canvas.begin(), canvas.end(), 0);
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const double average = sum / (double) canvas.size();
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power = -2.5/std::log(average/max);
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}
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template <typename C, typename I>
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void process(C const & canvas, I & image){
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for (typename C::const_iterator it = canvas.begin(); it != canvas.end(); ++it) {
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const double grayscale = get_value(*it);
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image << typename I::pixel(grayscale, grayscale, grayscale);
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}
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}
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protected:
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double get_value(unsigned int n){
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return std::pow(Normalizer::get_value(n), power);
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}
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double power;
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};
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}
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#endif
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