Examples of java.awt.image.Kernel

java.awt.image.Kernel
The Kernel class defines a matrix that describes how a specified pixel and its surrounding pixels affect the value computed for the pixel's position in the output image of a filtering operation. The X origin and Y origin indicate the kernel matrix element that corresponds to the pixel position for which an output value is being computed. @see ConvolveOp @version 10 Feb 1997


        return kernelData;
    }


    private Kernel makeQualityKernelX(int len) {
        return new Kernel(len, 1, computeQualityKernelData(len, stdDevX));
    }

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    private Kernel makeQualityKernelX(int len) {
        return new Kernel(len, 1, computeQualityKernelData(len, stdDevX));
    }


    private Kernel makeQualityKernelY(int len) {
        return new Kernel(1, len, computeQualityKernelData(len, stdDevY));
    }

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        for (int i = 0; i < data.length; i++) {
            data[i] /= total;
        }        
        
        Kernel kernel = null;
        if (horizontal) {
            kernel = new Kernel(size, 1, data);
        } else {
            kernel = new Kernel(1, size, data);
        }
        return new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
    }

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        for (int i = 0; i < data.length; i++) {
            data[i] /= total;
        }        
        
        Kernel kernel = null;
        if (horizontal) {
            kernel = new Kernel(size, 1, data);
        } else {
            kernel = new Kernel(1, size, data);
        }
        return new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
    }

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            float blurry = 1.0f / (float)(shadowSize * shadowSize);
            float[] blurKernel = new float[shadowSize * shadowSize];
            for (int i=0; i<blurKernel.length; i++) {
                blurKernel[i] = blurry;
            }
            ConvolveOp blur = new ConvolveOp(new Kernel(shadowSize, shadowSize, blurKernel));
            BufferedImage targetImage = GraphicsUtilities.createCompatibleTranslucentImage(imageWidth, imageWidth);
            ((Graphics2D)targetImage.getGraphics()).drawImage(image, blur, -(shadowSize/2), -(shadowSize/2));


            int x = 1;
            int y = 1;

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        for (int i = 0; i < data.length; i++) {
            data[i] /= total;
        }        
        
        Kernel kernel = null;
        if (horizontal) {
            kernel = new Kernel(size, 1, data);
        } else {
            kernel = new Kernel(1, size, data);
        }
        return new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
    }

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        if (filterDesc == null) {
            //
            // First time filter is converted: create its corresponding
            // SVG filter
            //
            Kernel kernel = convolveOp.getKernel();
            Element filterDef =
                domFactory.createElementNS(SVG_NAMESPACE_URI, SVG_FILTER_TAG);
            Element feConvolveMatrixDef =
                domFactory.createElementNS(SVG_NAMESPACE_URI,
                                           SVG_FE_CONVOLVE_MATRIX_TAG);


            // Convert the kernel size
            feConvolveMatrixDef.setAttributeNS(null, SVG_ORDER_ATTRIBUTE,
                                             kernel.getWidth() + SPACE +
                                             kernel.getHeight());


            // Convert the kernel values
            float[] data = kernel.getKernelData(null);
            StringBuffer kernelMatrixBuf = new StringBuffer( data.length * 8 );
            for(int i=0; i<data.length; i++){
                kernelMatrixBuf.append(doubleString(data[i]));
                kernelMatrixBuf.append(SPACE);
            }

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        // build the convolve filter
        ConvolveMatrixRable convolve = new ConvolveMatrixRable8Bit(pad);
        for (int i = 0; i < kernelMatrix.length; i++) {
            kernelMatrix[i] /= divisor;
        }
        convolve.setKernel(new Kernel(orderXY[0], orderXY[1], kernelMatrix));
        convolve.setTarget(new Point(targetXY[0], targetXY[1]));
        convolve.setBias(bias);
        convolve.setEdgeMode(padMode);
        convolve.setKernelUnitLength(kernelUnitLength);
        convolve.setPreserveAlpha(preserveAlpha);

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        return kernelData;
    }


    private Kernel makeQualityKernelX(int len) {
        return new Kernel(len, 1, computeQualityKernelData(len, stdDevX));
    }

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    private Kernel makeQualityKernelX(int len) {
        return new Kernel(len, 1, computeQualityKernelData(len, stdDevX));
    }


    private Kernel makeQualityKernelY(int len) {
        return new Kernel(1, len, computeQualityKernelData(len, stdDevY));
    }

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