Examples of java.awt.image.ConvolveOp.filter()

java.awt.image.ConvolveOp.filter()
Performs a convolution on BufferedImages. Each component of the source image will be convolved (including the alpha component, if present). If the color model in the source image is not the same as that in the destination image, the pixels will be converted in the destination. If the destination image is null, a BufferedImage will be created with the source ColorModel. The IllegalArgumentException may be thrown if the source is the same as the destination. @param src the source BufferedImage to filter @param dst the destination BufferedImage for the filtered src @return the filtered BufferedImage @throws NullPointerException if src is null @throws IllegalArgumentException if src equalsdst @throws ImagingOpException if src cannot be filtered

            kernel[i] = 1f / n;
        }


        ConvolveOp blur = new ConvolveOp(new Kernel(blurMagnitude, blurMagnitude,
            kernel), ConvolveOp.EDGE_NO_OP, null);
        bufferedImage = blur.filter(bufferedImage, null);


        graphics.drawImage(bufferedImage, 0, 0, null);


        bufferedImage = null;
        graphics = null;

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            BufferedImage srcBI;
            srcBI = new BufferedImage(cm, wr, cm.isAlphaPremultiplied(), null);


            // Easy case just apply the op...
            destBI = op.filter(srcBI, null);


            if (kernelHasNegValues) {
                // When the kernel has negative values it's possible
                // for the resultant image to have alpha values less
                // than the associated color values this will lead to

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            // Create the BufferedImage.
            BufferedImage tmpDstBI = new BufferedImage
                (cm, dstWR, cm.isAlphaPremultiplied(), null);


            // Filter between the two image without alpha.
            tmpDstBI = op.filter(tmpSrcBI, tmpDstBI);


            // org.apache.batik.test.gvt.ImageDisplay.showImage
            //   ("tmpDstBI: ", tmpDstBI);


            // Copy the alpha channel into the result (note the color

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    float[] sharpKernel = {0.0f, -1.0f, 0.0f,
                    -1.0f, 5.0f, -1.0f,
                    0.0f, -1.0f, 0.0f};


    BufferedImageOp sharpen = new ConvolveOp( new Kernel( 3, 3, sharpKernel ), ConvolveOp.EDGE_NO_OP, null );
    BufferedImage sharp = sharpen.filter( bufferedImage, null );


    //---create an encoder object for the BufferedImage.
    JPEGEncodeParam jpegParam = JPEGCodec.getDefaultJPEGEncodeParam( sharp );
    jpegParam.setQuality( quality, false );

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    big.drawImage(img, affineTransform, element.jGetFrame());
    
    Kernel kernel = new Kernel(matrix.getColumns(),matrix.getRows(), convert2DTo1D(matrix,matrix.getColumns(),matrix.getRows()));
    ConvolveOp con = new ConvolveOp(kernel);


    con.filter(src,bufferedImage);


  }

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            BufferedImage srcBI;
            srcBI = new BufferedImage(cm, wr, cm.isAlphaPremultiplied(), null);


            // Easy case just apply the op...
            destBI = op.filter(srcBI, null);


            if (kernelHasNegValues) {
                // When the kernel has negative values it's possible
                // for the resultant image to have alpha values less
                // than the associated color values this will lead to

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            // Create the BufferedImage.
            BufferedImage tmpDstBI = new BufferedImage
                (cm, dstWR, cm.isAlphaPremultiplied(), null);


            // Filter between the two image without alpha.
            tmpDstBI = op.filter(tmpSrcBI, tmpDstBI);


            // org.apache.batik.test.gvt.ImageDisplay.showImage
            //   ("tmpDstBI: ", tmpDstBI);


            // Copy the alpha channel into the result (note the color

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        // 1.5 second vs 0.3 second
//        long start = System.currentTimeMillis();
        image = changeImageWidth(image, image.getWidth() / 2);
        ConvolveOp gaussianFilter = getGaussianBlurFilter(BLUR_SIZE, true);
        image = gaussianFilter.filter(image, null);
        gaussianFilter = getGaussianBlurFilter(BLUR_SIZE, false);
        image = gaussianFilter.filter(image, null);
        ColorTintFilter colorMixFilter = new ColorTintFilter(Color.WHITE, 0.4f);
        image = colorMixFilter.filter(image, null);
        image = changeImageWidth(image, image.getWidth() * 2);

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//        long start = System.currentTimeMillis();
        image = changeImageWidth(image, image.getWidth() / 2);
        ConvolveOp gaussianFilter = getGaussianBlurFilter(BLUR_SIZE, true);
        image = gaussianFilter.filter(image, null);
        gaussianFilter = getGaussianBlurFilter(BLUR_SIZE, false);
        image = gaussianFilter.filter(image, null);
        ColorTintFilter colorMixFilter = new ColorTintFilter(Color.WHITE, 0.4f);
        image = colorMixFilter.filter(image, null);
        image = changeImageWidth(image, image.getWidth() * 2);
//        System.out.println("time = " +
//                           ((System.currentTimeMillis() - start) / 1000.0f));

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        // 1.5 second vs 0.3 second
//        long start = System.currentTimeMillis();
        image = changeImageWidth(image, image.getWidth() / 2);
        ConvolveOp gaussianFilter = getGaussianBlurFilter(BLUR_SIZE, true);
        image = gaussianFilter.filter(image, null);
        gaussianFilter = getGaussianBlurFilter(BLUR_SIZE, false);
        image = gaussianFilter.filter(image, null);
        ColorTintFilter colorMixFilter = new ColorTintFilter(Color.WHITE, 0.4f);
        image = colorMixFilter.filter(image, null);
        image = changeImageWidth(image, image.getWidth() * 2);

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