/** Convolve with a 2D kernel */
public static void convolveHV(
Kernel kernel,
int[] inPixels,
int[] outPixels,
int width,
int height,
boolean alpha,
int edgeAction) {
int index = 0;
float[] matrix = kernel.getKernelData(null);
int rows = kernel.getHeight();
int cols = kernel.getWidth();
int rows2 = rows / 2;
int cols2 = cols / 2;
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
float r = 0, g = 0, b = 0, a = 0;
for (int row = -rows2; row <= rows2; row++) {
int iy = y + row;
int ioffset;
if (0 <= iy && iy < height) ioffset = iy * width;
else if (edgeAction == CLAMP_EDGES) ioffset = y * width;
else if (edgeAction == WRAP_EDGES) ioffset = ((iy + height) % height) * width;
else continue;
int moffset = cols * (row + rows2) + cols2;
for (int col = -cols2; col <= cols2; col++) {
float f = matrix[moffset + col];
if (f != 0) {
int ix = x + col;
if (!(0 <= ix && ix < width)) {
if (edgeAction == CLAMP_EDGES) ix = x;
else if (edgeAction == WRAP_EDGES) ix = (x + width) % width;
else continue;
}
int rgb = inPixels[ioffset + ix];
a += f * ((rgb >> 24) & 0xff);
r += f * ((rgb >> 16) & 0xff);
g += f * ((rgb >> 8) & 0xff);
b += f * (rgb & 0xff);
}
}
}
int ia = alpha ? PixelUtils.clamp((int) (a + 0.5)) : 0xff;
int ir = PixelUtils.clamp((int) (r + 0.5));
int ig = PixelUtils.clamp((int) (g + 0.5));
int ib = PixelUtils.clamp((int) (b + 0.5));
outPixels[index++] = (ia << 24) | (ir << 16) | (ig << 8) | ib;
}
}
}
/** Convolve with a kernel consisting of one column */
public static void convolveV(
Kernel kernel,
int[] inPixels,
int[] outPixels,
int width,
int height,
boolean alpha,
int edgeAction) {
int index = 0;
float[] matrix = kernel.getKernelData(null);
int rows = kernel.getHeight();
int rows2 = rows / 2;
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
float r = 0, g = 0, b = 0, a = 0;
for (int row = -rows2; row <= rows2; row++) {
int iy = y + row;
int ioffset;
if (iy < 0) {
if (edgeAction == CLAMP_EDGES) ioffset = 0;
else if (edgeAction == WRAP_EDGES) ioffset = ((y + height) % height) * width;
else ioffset = iy * width;
} else if (iy >= height) {
if (edgeAction == CLAMP_EDGES) ioffset = (height - 1) * width;
else if (edgeAction == WRAP_EDGES) ioffset = ((y + height) % height) * width;
else ioffset = iy * width;
} else ioffset = iy * width;
float f = matrix[row + rows2];
if (f != 0) {
int rgb = inPixels[ioffset + x];
a += f * ((rgb >> 24) & 0xff);
r += f * ((rgb >> 16) & 0xff);
g += f * ((rgb >> 8) & 0xff);
b += f * (rgb & 0xff);
}
}
int ia = alpha ? PixelUtils.clamp((int) (a + 0.5)) : 0xff;
int ir = PixelUtils.clamp((int) (r + 0.5));
int ig = PixelUtils.clamp((int) (g + 0.5));
int ib = PixelUtils.clamp((int) (b + 0.5));
outPixels[index++] = (ia << 24) | (ir << 16) | (ig << 8) | ib;
}
}
}
/** Convolve with a kernel consisting of one row */
public static void convolveH(
Kernel kernel,
int[] inPixels,
int[] outPixels,
int width,
int height,
boolean alpha,
int edgeAction) {
int index = 0;
float[] matrix = kernel.getKernelData(null);
int cols = kernel.getWidth();
int cols2 = cols / 2;
for (int y = 0; y < height; y++) {
int ioffset = y * width;
for (int x = 0; x < width; x++) {
float r = 0, g = 0, b = 0, a = 0;
int moffset = cols2;
for (int col = -cols2; col <= cols2; col++) {
float f = matrix[moffset + col];
if (f != 0) {
int ix = x + col;
if (ix < 0) {
if (edgeAction == CLAMP_EDGES) ix = 0;
else if (edgeAction == WRAP_EDGES) ix = (x + width) % width;
} else if (ix >= width) {
if (edgeAction == CLAMP_EDGES) ix = width - 1;
else if (edgeAction == WRAP_EDGES) ix = (x + width) % width;
}
int rgb = inPixels[ioffset + ix];
a += f * ((rgb >> 24) & 0xff);
r += f * ((rgb >> 16) & 0xff);
g += f * ((rgb >> 8) & 0xff);
b += f * (rgb & 0xff);
}
}
int ia = alpha ? PixelUtils.clamp((int) (a + 0.5)) : 0xff;
int ir = PixelUtils.clamp((int) (r + 0.5));
int ig = PixelUtils.clamp((int) (g + 0.5));
int ib = PixelUtils.clamp((int) (b + 0.5));
outPixels[index++] = (ia << 24) | (ir << 16) | (ig << 8) | ib;
}
}
}
private int displacementMap(int x, int y) {
return PixelUtils.clamp((int) (127 * (1 + Noise.noise2(x / xScale, y / xScale))));
}
/*
/**
* Blur and transpose a block of ARGB pixels.
*
* @param kernel the blur kernel
* @param inPixels the input pixels
* @param outPixels the output pixels
* @param width the width of the pixel array
* @param height the height of the pixel array
* @param alpha whether to blur the alpha channel
* @param edgeAction what to do at the edges
*/
public static void convolveAndTranspose(
Kernel kernel,
int[] inPixels,
int[] outPixels,
int width,
int height,
boolean alpha,
boolean premultiply,
boolean unpremultiply,
int edgeAction) {
float[] matrix = kernel.getKernelData(null);
int cols = kernel.getWidth();
int cols2 = cols / 2;
for (int y = 0; y < height; y++) {
int index = y;
int ioffset = y * width;
for (int x = 0; x < width; x++) {
float r = 0, g = 0, b = 0, a = 0;
int moffset = cols2;
for (int col = -cols2; col <= cols2; col++) {
float f = matrix[moffset + col];
if (f != 0) {
int ix = x + col;
if (ix < 0) {
if (edgeAction == CLAMP_EDGES) ix = 0;
else if (edgeAction == WRAP_EDGES) ix = (x + width) % width;
} else if (ix >= width) {
if (edgeAction == CLAMP_EDGES) ix = width - 1;
else if (edgeAction == WRAP_EDGES) ix = (x + width) % width;
}
int rgb = inPixels[ioffset + ix];
int pa = (rgb >> 24) & 0xff;
int pr = (rgb >> 16) & 0xff;
int pg = (rgb >> 8) & 0xff;
int pb = rgb & 0xff;
if (premultiply) {
float a255 = pa * (1.0f / 255.0f);
pr *= a255;
pg *= a255;
pb *= a255;
}
a += f * pa;
r += f * pr;
g += f * pg;
b += f * pb;
}
}
if (unpremultiply && a != 0 && a != 255) {
float f = 255.0f / a;
r *= f;
g *= f;
b *= f;
}
int ia = alpha ? PixelUtils.clamp((int) (a + 0.5)) : 0xff;
int ir = PixelUtils.clamp((int) (r + 0.5));
int ig = PixelUtils.clamp((int) (g + 0.5));
int ib = PixelUtils.clamp((int) (b + 0.5));
outPixels[index] = (ia << 24) | (ir << 16) | (ig << 8) | ib;
index += height;
}
}
}