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

            // 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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            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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        if( ! m_Enabled )
            return image;
            
        Kernel kernel = new Kernel( m_ConvolveWidth, m_ConvolveHeight, m_Data );
        ConvolveOp op = new ConvolveOp( kernel, ConvolveOp.EDGE_NO_OP, null );
        WritableRaster r = op.filter( image, null );
        return r;
    }


    private float[] getFloatArray( String values )
    {

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      }


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


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

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    ConvolveOp gaussianOp1 = new ConvolveOp(gaussianBlur1, ConvolveOp.EDGE_NO_OP, hints);
    ConvolveOp gaussianOp2 = new ConvolveOp(gaussianBlur2, ConvolveOp.EDGE_NO_OP, hints);
    BufferedImage scratchImage = EffectUtil.getScratchImage();
    for (int i = 0; i < blurPasses; i++) {
      gaussianOp1.filter(image, scratchImage);
      gaussianOp2.filter(scratchImage, image);
    }
  }


  /**
   * Get the colour of the shadow generated

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        BufferedImage nextSource = src;


        for (int i = 0; i < numOfPasses; i++) {
            tempImage = gaussianOp1.filter(nextSource, tempImage);
            dst = gaussianOp2.filter(tempImage, dst);


            nextSource = dst;
        }


        if (needToConvert) {

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        bg.fill(blurShape);
        bg.dispose();


        // Blur shape
        ConvolveOp blur = new ConvolveOp(new GaussianKernel(DisplayConstants.HALO_BLUR_SIZE));
        haloImage = blur.filter(haloImage, null);


        return haloImage;
    }


    /**

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                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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      }


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


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

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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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