/**
* Returns the specified property.
*
* @param name Property name.
* @param opNode Operation node.
*/
public Object getProperty(String name, Object opNode) {
validate(name, opNode);
if (opNode instanceof RenderedOp && name.equalsIgnoreCase("roi")) {
RenderedOp op = (RenderedOp) opNode;
ParameterBlock pb = op.getParameterBlock();
// Retrieve the rendered source image and its ROI.
PlanarImage src = (PlanarImage) pb.getRenderedSource(0);
Object property = src.getProperty("ROI");
if (property == null
|| property.equals(java.awt.Image.UndefinedProperty)
|| !(property instanceof ROI)) {
return java.awt.Image.UndefinedProperty;
}
// Return undefined also if source ROI is empty.
ROI srcROI = (ROI) property;
if (srcROI.getBounds().isEmpty()) {
return java.awt.Image.UndefinedProperty;
}
/// This should really create a proper AffineTransform
/// and transform the ROI with it to avoid forcing
/// ROI.getAsImage to be called.
// Retrieve the transpose type and create a nearest neighbor
// Interpolation object.
TransposeType transposeType = (TransposeType) pb.getObjectParameter(0);
Interpolation interp = Interpolation.getInstance(Interpolation.INTERP_NEAREST);
// Return the transposed ROI.
return new ROI(JAI.create("transpose", srcROI.getAsImage(), transposeType));
}
return java.awt.Image.UndefinedProperty;
}
private synchronized void computeHistogram(Rectangle visibleRect, PlanarImage image) {
int channels = image.getSampleModel().getNumBands();
Histogram hist = new Histogram(256, 256, 512, channels);
bins = hist.getBins();
// Raster raster = image.getData(visibleRect);
Rectangle bounds = visibleRect; // image.getBounds();
int pixel[] = null;
int maxPixels = 256;
int incX = bounds.width >= 2 * maxPixels ? bounds.width / maxPixels : 1;
int incY = bounds.height >= 2 * maxPixels ? bounds.height / maxPixels : 1;
double log2 = Math.log(2);
int minTileX = image.XToTileX(bounds.x);
int maxTileX = image.XToTileX(bounds.x + bounds.width - 1);
int minTileY = image.YToTileY(bounds.y);
int maxTileY = image.YToTileY(bounds.y + bounds.height - 1);
for (int tx = minTileX; tx <= maxTileX; tx++)
for (int ty = minTileY; ty <= maxTileY; ty++) {
Raster raster = image.getTile(tx, ty);
int minX = Math.max(bounds.x, raster.getMinX());
int maxX = Math.min(bounds.x + bounds.width, raster.getMinX() + raster.getWidth());
int minY = Math.max(bounds.y, raster.getMinY());
int maxY = Math.min(bounds.y + bounds.height, raster.getMinY() + raster.getHeight());
for (int x = minX; x < maxX; x += incX)
for (int y = minY; y < maxY; y += incY) {
pixel = raster.getPixel(x, y, pixel);
for (int c = 0; c < channels; c++) {
int v = (int) (511 * logTable[pixel[c]] / (16 * log2));
if (v > 255) bins[c][v - 256]++;
else bins[c][0]++;
}
}
}
bins = hist.getBins();
}
public PlanarImage setFront() {
if (chroma_domain == 0 && chroma_range == 0 && luma_domain == 0 && luma_range == 0)
return back;
PlanarImage front = back;
ColorScience.LinearTransform transform = new ColorScience.YST();
double[][] rgb2yst = transform.fromRGB(back.getSampleModel().getDataType());
double[][] yst2rgb = transform.toRGB(back.getSampleModel().getDataType());
ParameterBlock pb = new ParameterBlock();
pb.addSource(back);
pb.add(rgb2yst);
RenderedOp ystImage = JAI.create("BandCombine", pb, null);
RenderingHints mfHints =
new RenderingHints(
JAI.KEY_BORDER_EXTENDER, BorderExtender.createInstance(BorderExtender.BORDER_COPY));
if (chroma_domain != 0 && chroma_range != 0) {
pb = new ParameterBlock();
pb.addSource(ystImage);
pb.add(chroma_domain * scale);
pb.add(0.02f + 0.001f * chroma_domain);
// pb.add(0.1f);
ystImage = JAI.create("BilateralFilter", pb, mfHints);
ystImage.setProperty(JAIContext.PERSISTENT_CACHE_TAG, Boolean.TRUE);
}
if (luma_domain != 0 && luma_range != 0) {
pb = new ParameterBlock();
pb.addSource(ystImage);
pb.add(new int[] {0});
RenderedOp y = JAI.create("bandselect", pb, null);
pb = new ParameterBlock();
pb.addSource(ystImage);
pb.add(new int[] {1, 2});
RenderedOp cc = JAI.create("bandselect", pb, JAIContext.noCacheHint);
pb = new ParameterBlock();
pb.addSource(y);
pb.add((2 + luma_domain / 10f) * scale);
pb.add(0.005f * luma_domain);
y = JAI.create("BilateralFilter", pb, mfHints);
RenderingHints layoutHints =
new RenderingHints(JAI.KEY_IMAGE_LAYOUT, Functions.getImageLayout(ystImage));
pb = new ParameterBlock();
pb.addSource(y);
pb.addSource(cc);
layoutHints.add(JAIContext.noCacheHint);
ystImage = JAI.create("BandMerge", pb, layoutHints);
}
pb = new ParameterBlock();
pb.addSource(ystImage);
pb.add(yst2rgb);
front = JAI.create("BandCombine", pb, null);
front.setProperty(JAIContext.PERSISTENT_CACHE_TAG, Boolean.TRUE);
return front;
}