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

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

Source:Rainbow4JTest.java

...273    @Test274    public void shouldSmoothImage() throws IOException {275        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/lenna.jpg").getFile());276        ImageHandler handler = new ImageHandler(image);277        handler.applyFilter(new BlurFilter(10), new Rectangle(0, 0, image.getWidth(), image.getHeight()));278    }279    @Test280    public void shouldRemoveNoiseImage() throws IOException {281        BufferedImage image = Rainbow4J.loadImage(getClass().getResource("/denoise.png").getFile());282        ImageHandler handler = new ImageHandler(image);283        handler.applyFilter(new DenoiseFilter(10), new Rectangle(0, 0, image.getWidth(), image.getHeight()));284    }285    @Test286    public void shouldApplyContrast_toImage() throws IOException {287        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));288        ImageHandler handler = new ImageHandler(image);289        handler.applyFilter(new ContrastFilter(200));290    }291    @Test292    public  void shouldApplySaturation_toImage() throws  IOException {293        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));294        ImageHandler handler = new ImageHandler(image);295        handler.applyFilter(new SaturationFilter(0));296    }297    @Test298    public void shouldApplyQuantinzation_toImage() throws IOException {299        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.jpg"));300        ImageHandler handler = new ImageHandler(image);301        handler.applyFilter(new QuantinizeFilter(2));302    }303    @Test304    public void shouldUseOffset_forDiffAnalysis() throws IOException {305        BufferedImage image = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna.png"));306        BufferedImage imageOffset = Rainbow4J.loadImage(getClass().getResourceAsStream("/lenna-offset.png"));307        // First comparing without offset308        {309            ImageCompareResult result = Rainbow4J.compare(image, imageOffset, new ComparisonOptions());310            assertThat(result.getTotalPixels(), is(allOf(greaterThan(64000L), lessThan(66000L))));311            assertThat(result.getOffsetX(), is(0));312            assertThat(result.getOffsetY(), is(0));313        }314        // Comparing without small offset315        {...

Source:Rainbow4J.java

...73        double Kx = ((double)Wb) / ((double)Wa);74        double Ky = ((double)Hb) / ((double)Ha);75        ImageHandler handlerA = new ImageHandler(imageA);76        ImageHandler handlerB = new ImageHandler(imageB);77        applyAllFilters(areaA, areaB, options, handlerA, handlerB);78        int tolerance = options.getTolerance();79        long minMismatchingPixels = Integer.MAX_VALUE;80        ImageHandler resultingMapHandler = null;81        int resultingOffsetX = 0;82        int resultingOffsetY = 0;83        // Here it moves within a spiral for better performance when analyzing a large offset84        int offsetX = 0;85        int offsetY = 0;86        int spiral_dx = 0;87        int spiral_dy = -1;88        int spiral_n = 0;89        if (options.getAnalyzeOffset() > 0) {90            spiral_n = options.getAnalyzeOffset() * 2 + 1;91        }92        int max_spiral = spiral_n * spiral_n;93        for (int spiral_i = 0; spiral_i <= max_spiral; spiral_i++) {94            if ((offsetX == offsetY) || (offsetX < 0 && offsetX == -offsetY) || (offsetX > 0 && offsetX == 1 - offsetY)){95                int temp = spiral_dx;96                spiral_dx = -spiral_dy;97                spiral_dy = temp;98            }99            ImageHandler mapHandler = new ImageHandler(areaA.width, areaA.height);100            long mismatchingPixels = 0;101            int x = 0, y = 0;102            while(y < Ha && minMismatchingPixels > 0) {103                while (x < Wa && mismatchingPixels < minMismatchingPixels) {104                    int xA = x + Cax + offsetX;105                    int yA = y + Cay + offsetY;106                    if (xA >= 0 && xA < imageAWidth && yA >= 0 && yA < imageAHeight ) {107                        if (!shouldPixelBeIgnored(xA, yA, options)) {108                            Color cA = handlerA.pickColor(xA, yA);109                            int xB, yB;110                            if (options.isStretchToFit()) {111                                xB = (int) Math.round((((double) x) * Kx) + Cbx);112                                yB = (int) Math.round(((double) y) * Ky + Cby);113                                xB = Math.min(xB, Cbx + Wb - 1);114                                yB = Math.min(yB, Cby + Hb - 1);115                            } else {116                                xB = x + Cbx;117                                yB = y + Cby;118                            }119                            Color cB = handlerB.pickColor(xB, yB);120                            long colorError = ImageHandler.colorDiff(cA, cB);121                            if (colorError > tolerance) {122                                Color color = Color.red;123                                int diff = (int) (colorError - tolerance);124                                if (diff > 30 && diff < 80) {125                                    color = Color.yellow;126                                } else if (diff <= 30) {127                                    color = Color.green;128                                }129                                mapHandler.setRGBA(x, y, color.getRed(), color.getGreen(), color.getBlue(), 255);130                                mismatchingPixels += 1;131                            } else {132                                mapHandler.setRGBA(x, y, 0, 0, 0, 255);133                            }134                        } else {135                            mapHandler.setRGBA(x, y, 0, 0, 0, 160);136                        }137                    } else {138                        mapHandler.setRGBA(x, y, 0, 0, 0, 255);139                    }140                    x += 1;141                }142                y += 1;143                x = 0;144            }145            if (mismatchingPixels < minMismatchingPixels) {146                minMismatchingPixels = mismatchingPixels;147                resultingOffsetX = offsetX;148                resultingOffsetY = offsetY;149                resultingMapHandler = mapHandler;150            }151            offsetX += spiral_dx;152            offsetY += spiral_dy;153        }154        applyFilters(resultingMapHandler, options.getMapFilters(), new Rectangle(0, 0, resultingMapHandler.getWidth(), resultingMapHandler.getHeight()));155        ImageCompareResult result = analyzeComparisonMap(resultingMapHandler);156        result.setOffsetX(resultingOffsetX);157        result.setOffsetY(resultingOffsetY);158        result.setOriginalFilteredImage(handlerA.getImage().getSubimage(areaA.x, areaA.y, areaA.width, areaA.height));159        result.setSampleFilteredImage(handlerB.getImage().getSubimage(areaB.x, areaB.y, areaB.width, areaB.height));160        return result;161    }162    private static boolean shouldPixelBeIgnored(int x, int y, ComparisonOptions options) {163        if (options != null && options.getIgnoreRegions() != null) {164            for (Rectangle rectangle : options.getIgnoreRegions()) {165                if (rectangle.contains(x, y)) {166                    return true;167                }168            }169        }170        return false;171    }172    private static ImageCompareResult analyzeComparisonMap(ImageHandler mapHandler) {173        ImageCompareResult result = new ImageCompareResult();174        long totalMismatchingPixels = 0;175        ByteBuffer bytes = mapHandler.getBytes();176        for (int k = 0; k < bytes.capacity() - ImageHandler.BLOCK_SIZE; k += ImageHandler.BLOCK_SIZE) {177            if (((int)bytes.get(k) &0xff) > 0 || ((int)bytes.get(k + 1) &0xff) > 0 || ((int)bytes.get(k + 2) &0xff) > 0) {178                totalMismatchingPixels++;179            }180        }181        double totalPixels = (mapHandler.getWidth() * mapHandler.getHeight());182        result.setPercentage(100.0 * totalMismatchingPixels / totalPixels);183        result.setTotalPixels(totalMismatchingPixels);184        result.setComparisonMap(mapHandler.getImage());185        return result;186    }187    private static void applyAllFilters(Rectangle areaA, Rectangle areaB, ComparisonOptions options, ImageHandler handlerA, ImageHandler handlerB) {188        applyFilters(handlerA, options.getOriginalFilters(), areaA);189        applyFilters(handlerB, options.getSampleFilters(), areaB);190    }191    private static void applyFilters(ImageHandler handler, List<ImageFilter> filters, Rectangle area) {192        if (filters != null) {193            for (ImageFilter filter : filters) {194                handler.applyFilter(filter, area);195            }196        }197    }198    /**199     *200     * @param image an image for calculating the color spectrum201     * @param precision 8 to 256 value for spectrum accuracy. The bigger value - the better precision, but the more memory it takes202     * @return203     * @throws IOException204     */205    public static Spectrum readSpectrum(BufferedImage image, Rectangle area, int precision) throws IOException {206        if (precision < 8) throw new IllegalArgumentException("Color size should not be less then 8");207        if (precision > 256) throw new IllegalArgumentException("Color size should not be bigger then 256");208        int spectrum[][][] = new int[precision][precision][precision];...

Source:ImageHandler.java

...87            }88        }89        return image;90    }91    public void applyFilter(ImageFilter filter, Rectangle area) {92        filter.apply(this.bytes, width, height, area);93    }94    public void setRGBA(int x, int y, int r, int g, int b, int a) {95        int k = y * width * BLOCK_SIZE + x * BLOCK_SIZE;96        bytes.put(k, (byte) (r & 0xff));97        bytes.put(k + 1, (byte) (g & 0xff));98        bytes.put(k + 2, (byte) (b & 0xff));99        bytes.put(k + 3, (byte) (a & 0xff));100    }101    public int getWidth() {102        return width;103    }104    public int getHeight() {105        return height;106    }107    public ByteBuffer getBytes() {108        return bytes;109    }110    public void applyFilter(ImageFilter filter) {111        this.applyFilter(filter, new Rectangle(0, 0, width, height));112    }113}...

apply

Using AI Code Generation

1package com.galenframework.rainbow4j.filters;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import javax.imageio.ImageIO;6public class ImageFilterExample {7    public static void main(String[] args) throws IOException {8        BufferedImage image = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins.jpg"));9        ImageFilter filter = new ImageFilter();10        BufferedImage filteredImage = filter.apply(image);11        ImageIO.write(filteredImage, "jpg", new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins-filtered.jpg"));12    }13}14package com.galenframework.rainbow4j.filters;15import java.awt.image.BufferedImage;16import java.io.File;17import java.io.IOException;18import javax.imageio.ImageIO;19public class ImageFilterExample {20    public static void main(String[] args) throws IOException {21        BufferedImage image = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins.jpg"));22        ImageFilter filter = new ImageFilter();23        BufferedImage filteredImage = filter.apply(image);24        ImageIO.write(filteredImage, "jpg", new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins-filtered.jpg"));25    }26}27package com.galenframework.rainbow4j.filters;28import java.awt.image.BufferedImage;29import java.io.File;30import java.io.IOException;31import javax.imageio.ImageIO;32public class ImageFilterExample {33    public static void main(String[] args) throws IOException {34        BufferedImage image = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins.jpg"));35        ImageFilter filter = new ImageFilter();36        BufferedImage filteredImage = filter.apply(image);37        ImageIO.write(filteredImage, "jpg", new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Penguins-filtered.jpg"));38    }39}

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.ImageFilter;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import javax.imageio.ImageIO;6public class ImageFilterExample{7public static void main(String[] args) {8BufferedImage img = null;9try {10img = ImageIO.read(new File("C:\\Users\\hp\\Desktop\\flower.jpg"));11} catch (IOException e) {12System.out.println("Error: Image not found");13}14BufferedImage filteredImage = ImageFilter.apply(img, "blur");15try {16ImageIO.write(filteredImage, "jpg", new File("C:\\Users\\hp\\Desktop\\flower1.jpg"));17} catch (IOException e) {18System.out.println("Error: Image not written");19}20}21}

apply

Using AI Code Generation

1package com.galenframework.rainbow4j.filters;2import java.awt.image.BufferedImage;3import java.io.File;4import java.io.IOException;5import javax.imageio.ImageIO;6import com.galenframework.rainbow4j.filters.Filter;7import com.galenframework.rainbow4j.filters.ImageFilter;8public class FilterExample {9    public static void main(String[] args) throws IOException {10        BufferedImage img = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert.jpg"));11        ImageFilter imageFilter = new ImageFilter();12        BufferedImage filteredImg = imageFilter.apply(img, Filter.GRAYSCALE);13        ImageIO.write(filteredImg, "jpg", new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\DesertFiltered.jpg"));14    }15}16package com.galenframework.rainbow4j.filters;17import java.awt.image.BufferedImage;18import java.io.File;19import java.io.IOException;20import javax.imageio.ImageIO;21import com.galenframework.rainbow4j.filters.Filter;22import com.galenframework.rainbow4j.filters.ImageFilter;23public class FilterExample {24    public static void main(String[] args) throws IOException {25        BufferedImage img = ImageIO.read(new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert.jpg"));26        ImageFilter imageFilter = new ImageFilter();27        BufferedImage filteredImg = imageFilter.apply(img, Filter.SEPIA);28        ImageIO.write(filteredImg, "jpg", new File("C:\\Users\\Public\\Pictures\\Sample Pictures\\DesertFiltered.jpg"));29    }30}31package com.galenframework.rainbow4j.filters;32import java.awt.image.BufferedImage;33import java.io.File;34import java.io

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.ImageFilter;2import java.io.File;3import java.io.IOException;4public class Test {5    public static void main(String[] args) throws IOException {6        File input = new File("C:\\Users\\user\\Desktop\\input.png");7        File output = new File("C:\\Users\\user\\Desktop\\output.png");8        ImageFilter.apply(input, output, "grayscale");9    }10}11import com.galenframework.rainbow4j.filters.ImageFilter;12import java.io.File;13import java.io.IOException;14public class Test {15    public static void main(String[] args) throws IOException {16        File input = new File("C:\\Users\\user\\Desktop\\input.png");17        File output = new File("C:\\Users\\user\\Desktop\\output.png");18        ImageFilter.apply(input, output, "sepia");19    }20}21import com.galenframework.rainbow4j.filters.ImageFilter;22import java.io.File;23import java.io.IOException;24public class Test {25    public static void main(String[] args) throws IOException {26        File input = new File("C:\\Users\\user\\Desktop\\input.png");27        File output = new File("C:\\Users\\user\\Desktop\\output.png");28        ImageFilter.apply(input, output, "blur");29    }30}31import com.galenframework.rainbow4j.filters.ImageFilter;32import java.io.File;33import java.io.IOException;34public class Test {35    public static void main(String[] args) throws IOException {36        File input = new File("C:\\Users\\user\\Desktop\\input.png");37        File output = new File("C:\\Users\\user\\Desktop\\output.png");38        ImageFilter.apply(input, output, "sharpen");39    }40}41import com.galenframework.rainbow4j.filters.ImageFilter;42import java.io.File;43import java.io

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.ImageFilter;2import com.galenframework.rainbow4j.filters.ImageFilterFactory;3import com.galenframework.rainbow4j.filters.ImageFilterType;4import com.galenframework.rainbow4j.filters.ImageFilters;5import com.galenframework.rainbow4j.filters.ImageFiltersBuilder;6import com.galenframework.rainbow4j.filters.ImageFiltersBuilderException;7import com.galenframework.rainbow4j.filters.ImageFiltersException;8import com.galenframework.rainbow4j.filters.ImageFiltersException;9import com.galenframework.rainbow4j.filters.ImageFiltersFactory;10import com.galenframework.rainbow4j.filters.ImageFiltersFactoryException;11import com.galenframework.rainbow4j.filters.ImageFiltersFactoryException;12import com.galenframework.rainbow4j.filters.ImageFiltersFactory;13import com.galenframework.rai

apply

Using AI Code Generation

1import com.galenframework.rainbow4j.filters.ImageFilter;2import com.galenframework.rainbow4j.filters.ImageFilterFactory;3import com.galenframework.rainbow4j.filters.ImageFilterType;4import com.galenframework.rainbow4j.filters.ImageFilters;5import com.galenframework.rainbow4j.filters.impl.InvertFilter;6import com.galenframework.rainbow4j.filters.impl.SepiaFilter;7import com.galenframework.rainbow4j.filters.impl.SharpenFilter;8import com.galenframework.rainbow4j.filters.impl.SoftenFilter;9import com.galenframework.rainbow4j.filters.impl.SolarizeFilter;10import com.galenframework.rainbow4j.filters.impl.ThresholdFilter;11import com.galenframework.rainbow4j.filters.impl.TintFilter;12import com.galenframework.rainbow4j.filters.impl.VignetteFilter;13import com.galenframework.rainbow4j.filters.impl.WatermarkFilter;14import com.galenframework.rainbow4j.filters.impl.WhiteBalanceFilter;15import com.galenframework.rainbow4j.filters.impl.ZoomFilter;16import com.galenframework.rainbow4j.filters.impl.BlurFilter;17import com.galenframework.rainbow4j.filters.impl.BrightnessFilter;18import com.galenframework.rainbow4j.filters.impl.ColorFilter;19import com.galenframework.rainbow4j.filters.impl.ContrastFilter;20import com.galenframework.rainbow4j.filters.impl.CropFilter;21import com.galenframework.rainbow4j.filters.impl.CurvesFilter;22import com.galenframework.rainbow4j.filters.impl.EdgeFilter;23import com.galenframework.rainbow4j.filters.impl.EmbossFilter;24import com.galenframework.rainbow4j.filters.impl.GammaFilter;25import com.galenframework.rainbow4j.filters.impl.GrayscaleFilter;26import com.galenframework.rainbow4j.filters.impl.HueFilter;27import com.galenframework.rainbow4j.filters.impl.NoiseFilter;28import com.galenframework.rainbow4j.filters.impl.PosterizeFilter;29import com.galenframework.rainbow4j.filters.impl.SaturateFilter;30import com.galenframework.rainbow4j.filters.impl.SketchFilter;31import com.galen

apply

Using AI Code Generation

1package com.galenframework.rainbow4j.filters;2import com.galenframework.rainbow4j.*;3import java.awt.image.*;4import java.io.*;5import javax.imageio.*;6public class ApplyFilter{7public static void main(String[] args){8try{9RainbowImage image = new RainbowImage("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert.jpg");10ImageFilter filter = new ImageFilter();11image = filter.apply(image, ImageFilterType.EMBOSS);12image.save("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert_emboss.jpg");13}catch(RainbowException ex){14System.out.println("Error: " + ex.getMessage());15}16}17}18package com.galenframework.rainbow4j.filters;19import com.galenframework.rainbow4j.*;20import java.awt.image.*;21import java.io.*;22import javax.imageio.*;23public class ApplyFilter{24public static void main(String[] args){25try{26RainbowImage image = new RainbowImage("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert.jpg");27ImageFilter filter = new ImageFilter();28image = filter.apply(image, ImageFilterType.GAUSSIAN_BLUR);29image.save("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert_gaussian_blur.jpg");30}catch(RainbowException ex){31System.out.println("Error: " + ex.getMessage());32}33}34}35package com.galenframework.rainbow4j.filters;36import com.galenframework.rainbow4j.*;37import java.awt.image.*;38import java.io.*;39import javax.imageio.*;40public class ApplyFilter{41public static void main(String[] args){42try{43RainbowImage image = new RainbowImage("C:\\Users\\Public\\Pictures\\Sample Pictures\\Desert.jpg");

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