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

      data=toFloatArray(pc,Caster.toNativeArray(oData));
    }
    else 
      throw new FunctionException(pc, "", 3, "data", "cannot cast data to a float array");
    
    return new Kernel(Caster.toIntValue(width),Caster.toIntValue(height),data);
  }

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      index++;
    }
    for (int i = 0; i < rows; i++)
      matrix[i] /= total;


    return new Kernel(rows, 1, matrix);
  }

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        for (int i = 0; i < 3; i++ ) {
          BoxBlurFilter.blur( bumpPixels, tmpPixels, bumpWidth, bumpHeight, (int)bumpSoftness );
          BoxBlurFilter.blur( tmpPixels, softPixels, bumpHeight, bumpWidth, (int)bumpSoftness );
        }
*/
        Kernel kernel = GaussianFilter.makeKernel( bumpSoftness );
        GaussianFilter.convolveAndTranspose( kernel, bumpPixels, tmpPixels, bumpWidth, bumpHeight, true, false, false, GaussianFilter.WRAP_EDGES );
        GaussianFilter.convolveAndTranspose( kernel, tmpPixels, softPixels, bumpHeight, bumpWidth, true, false, false, GaussianFilter.WRAP_EDGES );
        bump = new ImageFunction2D(softPixels, bumpWidth, bumpHeight, ImageFunction2D.CLAMP, bumpSource == BUMPS_FROM_IMAGE_ALPHA);
final Function2D bbump = bump;
if ( bumpShape != 0 ) {

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                String outputFormat = outputFile.getName().substring(p + 1);
                float[] kernel = new float[aperture * aperture];
                java.util.Arrays.fill(kernel, 1.0f / (float) aperture / (float) aperture);
                BufferedImage image = ImageIO.read(inputFile);
                // simple processing: blur
                BufferedImageOp op = new ConvolveOp(new Kernel(aperture, aperture, kernel));
                BufferedImage result = op.filter(image, null);
                ImageIO.write(result, outputFormat, outputFile);
            } else
                throw new IllegalArgumentException("Unknown command " + args[0]);
        }

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      for (int i = 0; i < pixels; i++) {
            elements[i] = weight;
      }


      Kernel kernel = new Kernel(blurWidth, blurWidth, elements);
      ConvolveOp simpleBlur = new ConvolveOp(kernel);


      simpleBlur.filter(bufferedImage, newImage);
      bufferedImage = newImage;
      dirty = true;

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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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        // 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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        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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        return kernelData;
    }


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

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