How to use apply method of com.galenframework.rainbow4j.filters.QuantinizeFilter class

Best Galen code snippet using com.galenframework.rainbow4j.filters.QuantinizeFilter.apply

Source:QuantinizeFilter.java

...28    public void setColorsAmount(int colorsAmount) {29        this.colorsAmount = colorsAmount;30    }31    @Override32    public void apply(ByteBuffer bytes, int width, int height, Rectangle area) {33        if (colorsAmount > 255) {34            colorsAmount = 255;35        }36        else if (colorsAmount < 2) {37           colorsAmount = 2;38        }39        int d = 256 / colorsAmount;40        for (int y = area.y; y < area.y + area.height; y++) {41            for (int x = area.x; x < area.x + area.width; x++) {42                int k = y * width * ImageHandler.BLOCK_SIZE + x * ImageHandler.BLOCK_SIZE;43                double red = (bytes.get(k) & 0xff) / d;44                double green = (bytes.get(k + 1) & 0xff) / d;45                double blue = (bytes.get(k + 2) & 0xff) / d;46                bytes.put(k, (byte) (Math.ceil(red) * d));...

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.QuantinizeFilter;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import javax.imageio.ImageIO;6public class QuantinizeFilter {7public static void main(String[] args) throws IOException {8BufferedImage image = ImageIO.read(new File("src/test/resources/quantinize-filter/sample.png"));9image = new QuantinizeFilter(2).apply(image);10ImageIO.write(image, "png", new File("src/test/resources/quantinize-filter/output.png"));11}12}13import com.galenframework.rainbow4j.filters.QuantinizeFilter;14import java.awt.image.BufferedImage;15import java.io.File;16import java.io.IOException;17import javax.imageio.ImageIO;18public class QuantinizeFilter {19public static void main(String[] args) throws IOException {20BufferedImage image = ImageIO.read(new File("src/test/resources/quantinize-filter/sample.png"));21image = new QuantinizeFilter(2).apply(image);22ImageIO.write(image, "png", new File("src/test/resources/quantinize-filter/output.png"));23}24}25import com.galenframework.rainbow4j.filters.QuantinizeFilter;26import java.awt.image.BufferedImage;27import java.io.File;28import java.io.IOException;29import javax.imageio.ImageIO;30public class QuantinizeFilter {31public static void main(String[] args) throws IOException {32BufferedImage image = ImageIO.read(new File("src/test/resources/quantinize-filter/sample.png"));33image = new QuantinizeFilter(2).apply(image);34ImageIO.write(image, "png", new File("src/test/resources/quantinize-filter/output.png"));35}36}

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.QuantinizeFilter;2import com.galenframework.rainbow4j.filters.QuantinizeFilter.QuantinizeType;3import java.awt.image.BufferedImage;4public class QuantinizeFilterExample {5    public static void main(String[] args) {6        BufferedImage result = new QuantinizeFilter(QuantinizeType.MEDIAN_CUT).apply(image);7        Rainbow4J.saveImage(result, "target/quantinize_median_cut.png");8    }9}10import com.galenframework.rainbow4j.filters.QuantinizeFilter;11import com.galenframework.rainbow4j.filters.QuantinizeFilter.QuantinizeType;12import java.awt.image.BufferedImage;13public class QuantinizeFilterExample {14    public static void main(String[] args) {15        BufferedImage result = new QuantinizeFilter(QuantinizeType.MEDIAN_CUT).apply(image);16        Rainbow4J.saveImage(result, "target/quantinize_median_cut.png");17    }18}19import com.galenframework.rainbow4j.filters.QuantinizeFilter;20import com.galenframework.rainbow4j.filters.QuantinizeFilter.QuantinizeType;21import java.awt.image.BufferedImage;22public class QuantinizeFilterExample {23    public static void main(String[] args) {24        BufferedImage result = new QuantinizeFilter(QuantinizeType.MEDIAN_CUT).apply(image);25        Rainbow4J.saveImage(result, "target/quantinize_median_cut.png");26    }27}28import com.galenframework.r

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.QuantinizeFilter2import com.galenframework.rainbow4j.filters.QuantinizeFilter$QuantinizeType3def filter = new QuantinizeFilter(2, QuantinizeFilter$QuantinizeType.MEDIAN_CUT)4filter.apply("src/test/resources/quantinize.png").save("target/quantinize.png")5import com.galenframework.rainbow4j.filters.QuantinizeFilter6import com.galenframework.rainbow4j.filters.QuantinizeFilter.QuantinizeType7def filter = new QuantinizeFilter(2, QuantinizeFilter.QuantinizeType.MEDIAN_CUT)8filter.apply("src/test/resources/quantinize.png").save("target/quantinize.png")9import com.galenframework.rainbow4j.filters.QuantinizeFilter10import com.galenframework.rainbow4j.filters.QuantinizeFilter.QuantinizeType11def filter = new QuantinizeFilter(2, QuantinizeFilter.QuantinizeType.MEDIAN_CUT)12filter.apply("src/test/resources/quantinize.png").save("target/quantinize.png")13import com.galenframework.rainbow4j.filters.QuantinizeFilter14import com.galenframework.rainbow4j.filters.QuantinizeFilter.QuantinizeType15def filter = new QuantinizeFilter(2, QuantinizeFilter.QuantinizeType.MEDIAN_CUT)16filter.apply("src/test/resources/quantin

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.QuantinizeFilter;2String imageFile = "test.png";3String outputFile = "quantinized.png";4QuantinizeFilter quantinizeFilter = new QuantinizeFilter();5BufferedImage bufferedImage = quantinizeFilter.apply(imageFile);6ImageIO.write(bufferedImage, "png", new File(outputFile));

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.QuantinizeFilter2def image = Image.load("test.png")3def filter = new QuantinizeFilter(8)4def result = filter.apply(image)5result.save("result.png")6import com.galenframework.rainbow4j.filters.QuantinizeFilter7def image = Image.load("test.png")8def filter = new QuantinizeFilter(8)9def result = filter.apply(image)10result.save("result.png")11import com.galenframework.rainbow4j.filters.QuantinizeFilter12def image = Image.load("test.png")13def filter = new QuantinizeFilter(8)14def result = filter.apply(image)15result.save("result.png")16import com.galenframework.rainbow4j.filters.QuantinizeFilter17def image = Image.load("test.png")18def filter = new QuantinizeFilter(8)19def result = filter.apply(image)20result.save("result.png")21import com.galenframework.rainbow4j.filters.QuantinizeFilter22def image = Image.load("test.png")23def filter = new QuantinizeFilter(8)24def result = filter.apply(image)25result.save("result.png")26import com.galenframework.rainbow4j.filters.QuantinizeFilter27def image = Image.load("test.png")28def filter = new QuantinizeFilter(8)29def result = filter.apply(image)30result.save("result.png")

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.QuantinizeFilter;2import java.awt.image.BufferedImage;3import java.io.File;4import javax.imageio.ImageIO;5import java.io.IOException;6import java.util.Scanner;7public class QuantinizeFilterExample {8    public static void main(String[] args) throws IOException {9        BufferedImage image = ImageIO.read(new File("C:\\Users\\Galen\\Desktop\\input.jpg"));10        System.out.println("Enter the number of color levels in the quantized image");11        Scanner sc = new Scanner(System.in);12        int colorLevels = sc.nextInt();13        QuantinizeFilter filter = new QuantinizeFilter();14        BufferedImage quantizedImage = filter.apply(image, colorLevels);15        ImageIO.write(quantizedImage, "jpg", new File("C:\\Users\\Galen\\Desktop\\output.jpg"));16    }17}18import com.galenframework.rainbow4j.filters.QuantinizeFilter;19import java.awt.image.BufferedImage;20import java.io.File;21import javax.imageio.ImageIO;22import java.io.IOException;23import java.util.Scanner;24public class QuantinizeFilterExample {25    public static void main(String[] args) throws IOException {26        BufferedImage image = ImageIO.read(new File("C:\\Users\\Galen\\Desktop\\input.jpg"));

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