List of usage examples for java.awt.image ConvolveOp EDGE_ZERO_FILL
int EDGE_ZERO_FILL
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From source file:Main.java
/** * Applies a gaussian blur of the given radius to the given {@link BufferedImage} using a kernel * convolution.//from w w w. j av a 2s . c o m * * @param source The source image. * @param radius The blur radius, in pixels. * @return A new, blurred image, or the source image if no blur is performed. */ public static BufferedImage blurredImage(BufferedImage source, double radius) { if (radius == 0) { return source; } final int r = (int) Math.ceil(radius); final int rows = r * 2 + 1; final float[] kernelData = new float[rows * rows]; final double sigma = radius / 3; final double sigma22 = 2 * sigma * sigma; final double sqrtPiSigma22 = Math.sqrt(Math.PI * sigma22); final double radius2 = radius * radius; double total = 0; int index = 0; double distance2; int x, y; for (y = -r; y <= r; y++) { for (x = -r; x <= r; x++) { distance2 = 1.0 * x * x + 1.0 * y * y; if (distance2 > radius2) { kernelData[index] = 0; } else { kernelData[index] = (float) (Math.exp(-distance2 / sigma22) / sqrtPiSigma22); } total += kernelData[index]; ++index; } } for (index = 0; index < kernelData.length; index++) { kernelData[index] /= total; } // We first pad the image so the kernel can operate at the edges. BufferedImage paddedSource = paddedImage(source, r); BufferedImage blurredPaddedImage = operatedImage(paddedSource, new ConvolveOp(new Kernel(rows, rows, kernelData), ConvolveOp.EDGE_ZERO_FILL, null)); return blurredPaddedImage.getSubimage(r, r, source.getWidth(), source.getHeight()); }