Examples of KernelJAI

com.lightcrafts.mediax.jai.KernelJAI
A kernel representing a matrix with a key position, used by operators such as Convolve .
A KernelJAI is characterized by its width, height, and origin, or key element. The key element is the element which is placed over the current source pixel to perform convolution or error diffusion.
A kernel K is separable it the outer product of two one-dimensional vectors. It can speed up computation. One can construct a kernel from two one-dimensional vectors. <>The symmetry can be useful (such as computation speedup). Currently the protected instance variables isHorizonallySymmetric and isVerticallySymmetric are set to false. @see com.lightcrafts.mediax.jai.operator.ConvolveDescriptor @see com.lightcrafts.mediax.jai.operator.OrderedDitherDescriptor @see com.lightcrafts.mediax.jai.operator.ErrorDiffusionDescriptor
javax.media.jai.KernelJAI
A kernel representing a matrix with a key position, used by operators such as Convolve .
A KernelJAI is characterized by its width, height, and origin, or key element. The key element is the element which is placed over the current source pixel to perform convolution or error diffusion.
A kernel K is separable it the outer product of two one-dimensional vectors. It can speed up computation. One can construct a kernel from two one-dimensional vectors. <>The symmetry can be useful (such as computation speedup). Currently the protected instance variables isHorizonallySymmetric and isVerticallySymmetric are set to false. @see javax.media.jai.operator.ConvolveDescriptor @see javax.media.jai.operator.OrderedDitherDescriptor @see javax.media.jai.operator.ErrorDiffusionDescriptor

Examples of javax.media.jai.KernelJAI

                            image =  new RenderedImageAdapter( ri );
                            originalSampleModel = image.getSampleModel();
                            originalColorModel = image.getColorModel();
                            final float[] DEFAULT_KERNEL_1D = {0.25f,0.5f,0.25f};
                            ParameterBlock pb = new ParameterBlock();
                            KernelJAI kernel = new KernelJAI(DEFAULT_KERNEL_1D.length,
                                    DEFAULT_KERNEL_1D.length,
                                    DEFAULT_KERNEL_1D.length/2,
                                    DEFAULT_KERNEL_1D.length/2,
                                    DEFAULT_KERNEL_1D,
                                    DEFAULT_KERNEL_1D);

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Examples of javax.media.jai.KernelJAI


        int numMasks = ditherMask.length;
        this.dmask = new int[numMasks][];


        for(int k = 0; k < numMasks; k++) {
            KernelJAI mask = ditherMask[k];


            if(mask.getWidth() != dmaskWidth ||
               mask.getHeight() != dmaskHeight) {
                throw new IllegalArgumentException
                    (JaiI18N.getString("MlibOrderedDitherOpImage0"));
            }


            // Initialize the integral dither mask coefficients.

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Examples of javax.media.jai.KernelJAI

                                RenderingHints hints) {
        // Get source and parameters.
        RenderedImage source = args.getRenderedSource(0);
        LookupTableJAI colorMap =
            (LookupTableJAI)args.getObjectParameter(0);
        KernelJAI errorKernel = (KernelJAI)args.getObjectParameter(1);


        // Check colorMap compatibility.
        if(colorMap.getNumBands() != 1 &&
           colorMap.getNumBands() != 3) {
            // 1 or 3 band colorMaps only.

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Examples of javax.media.jai.KernelJAI


        RenderedImage source = args.getRenderedSource(0);


  // map the input kernel + gain factor to an equivalent
  // convolution kernel and then do a normal convolve.
  KernelJAI unRotatedKernel =
    ImageUtil.getUnsharpMaskEquivalentKernel(
      (KernelJAI)args.getObjectParameter(0),
      args.getFloatParameter(1));


        KernelJAI kJAI = unRotatedKernel.getRotatedKernel();


        int kWidth = kJAI.getWidth();
        int kHeight = kJAI.getHeight();


        /* mediaLib does not handle kernels with either dimension < 2. */
        if (kWidth < 2 || kHeight < 2) {
            return null;
        }


        if (kJAI.isSeparable() && kWidth >= 3 && kWidth <= 7 &&  kWidth == kHeight) {
            return new MlibSeparableConvolveOpImage(source,
                                                    extender, hints, layout,
                                                    kJAI);
        } else if ((kWidth == 3 && kHeight == 3) ||
                   (kWidth == 5 && kHeight == 5)) {

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Examples of javax.media.jai.KernelJAI

            dataV = new float[height];
            Arrays.fill(dataV, 1.0F/(float)height);
        }


        // Construct a separable kernel.
        KernelJAI kernel = new KernelJAI(width, height, xOrigin, yOrigin,
                                         dataH, dataV);


        // Construct the parameters for the "Convolve" RIF.
        ParameterBlock args = new ParameterBlock(paramBlock.getSources());
        args.add(kernel);

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Examples of javax.media.jai.KernelJAI

        /* Get BorderExtender from hints if any. */
        BorderExtender extender = RIFUtil.getBorderExtenderHint(hints);


        RenderedImage source = args.getRenderedSource(0);


        KernelJAI unRotatedKernel = (KernelJAI)args.getObjectParameter(0);
        KernelJAI kJAI = unRotatedKernel.getRotatedKernel();


        int kWidth = kJAI.getWidth();
        int kHeight= kJAI.getHeight();
  int xOri   = kJAI.getXOrigin();
  int yOri   = kJAI.getYOrigin();
  int numB   = source.getSampleModel().getNumBands();


        /* mediaLib does not handle kernels with either dimension < 2. */


        if (xOri != 1 || yOri != 1 || kWidth != 3 || kHeight != 3 || numB != 1) {
      return null;
  }
     
  // check for plus and square type of kernel


  float[] kdata = kJAI.getKernelData();


  if (isBinary && isKernel3Square1(kdata) || !isBinary && isKernel3Square0(kdata)){    


      return new MlibDilate3SquareOpImage(source, extender, hints, layout);

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Examples of javax.media.jai.KernelJAI

        /* Get BorderExtender from hints if any. */
        BorderExtender extender = RIFUtil.getBorderExtenderHint(hints);


        RenderedImage source = args.getRenderedSource(0);


        KernelJAI unRotatedKernel = (KernelJAI)args.getObjectParameter(0);
        KernelJAI kJAI = unRotatedKernel.getRotatedKernel();


        int kWidth = kJAI.getWidth();
        int kHeight= kJAI.getHeight();
  int xOri   = kJAI.getXOrigin();
  int yOri   = kJAI.getYOrigin();
  int numB   = source.getSampleModel().getNumBands();


        /* mediaLib does not handle kernels with either dimension < 2. */


        if (xOri != 1 || yOri != 1 || kWidth != 3 || kHeight != 3 || numB != 1) {
      return null;
  }
     
  // check for plus and square type of kernel


  float[] kdata = kJAI.getKernelData();


  if (isBinary && isKernel3Square1(kdata) || !isBinary && isKernel3Square0(kdata)){    


      return new MlibErode3SquareOpImage(source, extender, hints, layout);

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Examples of javax.media.jai.KernelJAI

        


        // Get BorderExtender from renderHints if any.
        BorderExtender extender = RIFUtil.getBorderExtenderHint(renderHints);


        KernelJAI unRotatedKernel = 
            (KernelJAI)paramBlock.getObjectParameter(0);
        KernelJAI kJAI = unRotatedKernel.getRotatedKernel();


  RenderedImage source = paramBlock.getRenderedSource(0);
  SampleModel sm = source.getSampleModel();


  // check dataType and binary

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Examples of javax.media.jai.KernelJAI

        


        RenderedImage source = paramBlock.getRenderedSource(0);
        LookupTableJAI lookupTable =
            (LookupTableJAI)paramBlock.getObjectParameter(0);
        KernelJAI kernel = (KernelJAI)paramBlock.getObjectParameter(1);


        return new ErrorDiffusionOpImage(source, renderHints, layout,
                                         lookupTable, kernel);
    }

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Examples of javax.media.jai.KernelJAI


        /*
         * Get the Horizontal & Vertical kernels.
         * At this point these kernels should have the same width & height
         */
        KernelJAI kern_h = (KernelJAI)args.getObjectParameter(0);
        KernelJAI kern_v = (KernelJAI)args.getObjectParameter(1);


        /* Get the width & height of the kernels. */
        int kWidth = kern_h.getWidth();
        int kHeight = kern_v.getHeight();


        /* Check and see if the operation is a Sobel. */
        float khdata[], kvdata[];
        khdata = kern_h.getKernelData();
        kvdata = kern_v.getKernelData();
        if ((khdata[0] == -1.0F && khdata[1] == -2.0F && khdata[2] == -1.0F &&
             khdata[3] ==  0.0F && khdata[4] ==  0.0F && khdata[5] ==  0.0F &&
             khdata[6] ==  1.0F && khdata[7] ==  2.0F && khdata[8] ==  1.0F) &&
            (kvdata[0] == -1.0F && kvdata[1] == 0.0F && kvdata[2] == 1.0F &&
             kvdata[3] == -2.0F && kvdata[4] == 0.0F && kvdata[5] == 2.0F &&

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