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/*-
* ========================LICENSE_START=================================
* jgea-problem
* %%
* Copyright (C) 2018 - 2024 Eric Medvet
* %%
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =========================LICENSE_END==================================
*/
package io.github.ericmedvet.jgea.problem.image;
import io.github.ericmedvet.jgea.core.problem.ComparableQualityBasedProblem;
import io.github.ericmedvet.jsdynsym.core.numerical.UnivariateRealFunction;
import java.awt.image.BufferedImage;
import java.util.function.Function;
public class ImageReconstruction implements ComparableQualityBasedProblem {
private final Function fitnessFunction;
public ImageReconstruction(BufferedImage image, boolean normalize) {
fitnessFunction = f -> {
double err = 0d;
for (int x = 0; x < image.getWidth(); x++) {
for (int y = 0; y < image.getHeight(); y++) {
double fOut = f.applyAsDouble(new double[] {
(double) x / (double) image.getWidth(), (double) y / (double) image.getHeight()
});
if (normalize) {
fOut = Math.tanh(fOut) / 2d + 0.5d;
}
int color = image.getRGB(x, y);
double red = (color & 0x00ff0000) >> 16;
double green = (color & 0x0000ff00) >> 8;
double blue = color & 0x000000ff;
double imgOut = (red / 256d + green / 256d + blue / 256d) / 3d;
err = err + (imgOut - fOut) * (imgOut - fOut);
}
}
return err / ((double) (image.getWidth() * image.getHeight()));
};
}
@Override
public Function qualityFunction() {
return fitnessFunction;
}
}