Data update
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Ingy döt Net
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4bb20c9b71
commit
cbaf4c4b64
12390 changed files with 318560 additions and 27248 deletions
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@ -11,74 +11,74 @@ import javax.imageio.ImageIO;
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public final class ColorQuantization {
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public static void main(String[] aArgs) throws IOException {
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BufferedImage original = ImageIO.read( new File("quantum_frog.png") );
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final int width = original.getWidth();
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final int height = original.getHeight();
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int[] originalPixels = original.getRGB(0, 0, width, height, null, 0, width);
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List<Item> bucket = new ArrayList<Item>();
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for ( int i = 0; i < originalPixels.length; i++ ) {
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bucket.add( new Item(new Color(originalPixels[i]), i) );
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}
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int[] resultPixels = new int[originalPixels.length];
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medianCut(bucket, 4, resultPixels);
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BufferedImage result = new BufferedImage(width, height, original.getType());
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result.setRGB(0, 0, width, height, resultPixels, 0, width);
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ImageIO.write(result, "png", new File("Quantum_frog16Java.png"));
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System.out.println("The 16 colors used in Red, Green, Blue format are:");
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for ( Color color : colorsUsed ) {
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System.out.println("(" + color.getRed() + ", " + color.getGreen() + ", " + color.getBlue() + ")");
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}
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}
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private static void medianCut(List<Item> aBucket, int aDepth, int[] aResultPixels) {
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if ( aDepth == 0 ) {
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quantize(aBucket, aResultPixels);
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return;
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}
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int[] minimumValue = new int[] { 256, 256, 256 };
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int[] maximumValue = new int[] { 0, 0, 0 };
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for ( Item item : aBucket ) {
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for ( Channel channel : Channel.values() ) {
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int value = item.getPrimary(channel);
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if ( value < minimumValue[channel.index] ) {
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minimumValue[channel.index] = value;
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}
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if ( value > maximumValue[channel.index] ) {
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maximumValue[channel.index] = value;
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}
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}
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}
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int[] valueRange = new int[] { maximumValue[Channel.RED.index] - minimumValue[Channel.RED.index],
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maximumValue[Channel.GREEN.index] - minimumValue[Channel.GREEN.index],
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maximumValue[Channel.BLUE.index] - minimumValue[Channel.BLUE.index] };
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Channel selectedChannel = ( valueRange[Channel.RED.index] >= valueRange[Channel.GREEN.index] )
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? ( valueRange[Channel.RED.index] >= valueRange[Channel.BLUE.index] ) ? Channel.RED : Channel.BLUE
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: ( valueRange[Channel.GREEN.index] >= valueRange[Channel.BLUE.index] ) ? Channel.GREEN : Channel.BLUE;
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Collections.sort(aBucket, switch(selectedChannel) {
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case RED -> redComparator;
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case GREEN -> greenComparator;
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case BLUE -> blueComparator; });
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final int medianIndex = aBucket.size() / 2;
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medianCut(new ArrayList<Item>(aBucket.subList(0, medianIndex)), aDepth - 1, aResultPixels);
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medianCut(new ArrayList<Item>(aBucket.subList(medianIndex, aBucket.size())), aDepth - 1, aResultPixels);
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}
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private static void quantize(List<Item> aBucket, int[] aResultPixels) {
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int[] means = new int[Channel.values().length];
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public static void main(String[] aArgs) throws IOException {
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BufferedImage original = ImageIO.read( new File("quantum_frog.png") );
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final int width = original.getWidth();
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final int height = original.getHeight();
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int[] originalPixels = original.getRGB(0, 0, width, height, null, 0, width);
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List<Item> bucket = new ArrayList<Item>();
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for ( int i = 0; i < originalPixels.length; i++ ) {
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bucket.add( new Item(new Color(originalPixels[i]), i) );
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}
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int[] resultPixels = new int[originalPixels.length];
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medianCut(bucket, 4, resultPixels);
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BufferedImage result = new BufferedImage(width, height, original.getType());
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result.setRGB(0, 0, width, height, resultPixels, 0, width);
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ImageIO.write(result, "png", new File("Quantum_frog16Java.png"));
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System.out.println("The 16 colors used in Red, Green, Blue format are:");
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for ( Color color : colorsUsed ) {
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System.out.println("(" + color.getRed() + ", " + color.getGreen() + ", " + color.getBlue() + ")");
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}
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}
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private static void medianCut(List<Item> aBucket, int aDepth, int[] aResultPixels) {
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if ( aDepth == 0 ) {
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quantize(aBucket, aResultPixels);
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return;
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}
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int[] minimumValue = new int[] { 256, 256, 256 };
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int[] maximumValue = new int[] { 0, 0, 0 };
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for ( Item item : aBucket ) {
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for ( Channel channel : Channel.values() ) {
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int value = item.getPrimary(channel);
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if ( value < minimumValue[channel.index] ) {
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minimumValue[channel.index] = value;
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}
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if ( value > maximumValue[channel.index] ) {
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maximumValue[channel.index] = value;
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}
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}
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}
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int[] valueRange = new int[] { maximumValue[Channel.RED.index] - minimumValue[Channel.RED.index],
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maximumValue[Channel.GREEN.index] - minimumValue[Channel.GREEN.index],
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maximumValue[Channel.BLUE.index] - minimumValue[Channel.BLUE.index] };
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Channel selectedChannel = ( valueRange[Channel.RED.index] >= valueRange[Channel.GREEN.index] )
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? ( valueRange[Channel.RED.index] >= valueRange[Channel.BLUE.index] ) ? Channel.RED : Channel.BLUE
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: ( valueRange[Channel.GREEN.index] >= valueRange[Channel.BLUE.index] ) ? Channel.GREEN : Channel.BLUE;
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Collections.sort(aBucket, switch(selectedChannel) {
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case RED -> redComparator;
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case GREEN -> greenComparator;
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case BLUE -> blueComparator; });
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final int medianIndex = aBucket.size() / 2;
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medianCut(new ArrayList<Item>(aBucket.subList(0, medianIndex)), aDepth - 1, aResultPixels);
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medianCut(new ArrayList<Item>(aBucket.subList(medianIndex, aBucket.size())), aDepth - 1, aResultPixels);
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}
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private static void quantize(List<Item> aBucket, int[] aResultPixels) {
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int[] means = new int[Channel.values().length];
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for ( Item item : aBucket ) {
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for ( Channel channel : Channel.values() ) {
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means[channel.index] += item.getPrimary(channel);
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}
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for ( Channel channel : Channel.values() ) {
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means[channel.index] += item.getPrimary(channel);
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}
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}
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for ( Channel channel : Channel.values() ) {
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@ -89,39 +89,39 @@ public final class ColorQuantization {
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colorsUsed.add(color);
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for ( Item item : aBucket ) {
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aResultPixels[item.aIndex] = color.getRGB();
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aResultPixels[item.aIndex] = color.getRGB();
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}
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}
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private enum Channel {
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RED(0), GREEN(1), BLUE(2);
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private Channel(int aIndex) {
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index = aIndex;
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}
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private final int index;
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}
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private record Item(Color aColor, Integer aIndex) {
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public int getPrimary(Channel aChannel) {
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return switch(aChannel) {
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case RED -> aColor.getRed();
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case GREEN -> aColor.getGreen();
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case BLUE -> aColor.getBlue();
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};
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}
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}
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private static Comparator<Item> redComparator =
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(one, two) -> Integer.compare(one.aColor.getRed(), two.aColor.getRed());
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private static Comparator<Item> greenComparator =
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(one, two) -> Integer.compare(one.aColor.getGreen(), two.aColor.getGreen());
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private static Comparator<Item> blueComparator =
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(one, two) -> Integer.compare(one.aColor.getBlue(), two.aColor.getBlue());
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private static List<Color> colorsUsed = new ArrayList<Color>();
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}
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private enum Channel {
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RED(0), GREEN(1), BLUE(2);
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private Channel(int aIndex) {
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index = aIndex;
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}
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private final int index;
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}
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private record Item(Color aColor, Integer aIndex) {
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public int getPrimary(Channel aChannel) {
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return switch(aChannel) {
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case RED -> aColor.getRed();
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case GREEN -> aColor.getGreen();
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case BLUE -> aColor.getBlue();
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};
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}
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}
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private static Comparator<Item> redComparator =
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(one, two) -> Integer.compare(one.aColor.getRed(), two.aColor.getRed());
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private static Comparator<Item> greenComparator =
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(one, two) -> Integer.compare(one.aColor.getGreen(), two.aColor.getGreen());
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private static Comparator<Item> blueComparator =
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(one, two) -> Integer.compare(one.aColor.getBlue(), two.aColor.getBlue());
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private static List<Color> colorsUsed = new ArrayList<Color>();
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}
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