| Index: tools/sk_tool_utils.cpp
|
| diff --git a/tools/sk_tool_utils.cpp b/tools/sk_tool_utils.cpp
|
| index 710c2042716cf655045941e02bb838c9ff8f8609..9a667b4a45d0d61779854723b88bf54aa34b546e 100644
|
| --- a/tools/sk_tool_utils.cpp
|
| +++ b/tools/sk_tool_utils.cpp
|
| @@ -349,4 +349,98 @@ void make_big_path(SkPath& path) {
|
| #include "BigPathBench.inc"
|
| }
|
|
|
| +static float gaussian2d_value(int x, int y, float sigma) {
|
| + // don't bother with the scale term since we're just going to normalize the
|
| + // kernel anyways
|
| + float temp = exp(-(x*x + y*y)/(2*sigma*sigma));
|
| + return temp;
|
| +}
|
| +
|
| +static float* create_2d_kernel(float sigma, int* filterSize) {
|
| + // We will actually take 2*halfFilterSize+1 samples (i.e., our filter kernel
|
| + // sizes are always odd)
|
| + int halfFilterSize = SkScalarCeilToInt(6*sigma)/2;
|
| + int wh = *filterSize = 2*halfFilterSize + 1;
|
| +
|
| + float* temp = new float[wh*wh];
|
| +
|
| + float filterTot = 0.0f;
|
| + for (int yOff = 0; yOff < wh; ++yOff) {
|
| + for (int xOff = 0; xOff < wh; ++xOff) {
|
| + temp[yOff*wh+xOff] = gaussian2d_value(xOff-halfFilterSize, yOff-halfFilterSize, sigma);
|
| +
|
| + filterTot += temp[yOff*wh+xOff];
|
| + }
|
| + }
|
| +
|
| + // normalize the kernel
|
| + for (int yOff = 0; yOff < wh; ++yOff) {
|
| + for (int xOff = 0; xOff < wh; ++xOff) {
|
| + temp[yOff*wh+xOff] /= filterTot;
|
| + }
|
| + }
|
| +
|
| + return temp;
|
| +}
|
| +
|
| +static SkPMColor blur_pixel(const SkBitmap& bm, int x, int y, float* kernel, int wh) {
|
| + SkASSERT(wh & 0x1);
|
| +
|
| + int halfFilterSize = (wh-1)/2;
|
| +
|
| + float r = 0.0f, g = 0.0f, b = 0.0f;
|
| + for (int yOff = 0; yOff < wh; ++yOff) {
|
| + int ySamp = y + yOff - halfFilterSize;
|
| +
|
| + if (ySamp < 0) {
|
| + ySamp = 0;
|
| + } else if (ySamp > bm.height()-1) {
|
| + ySamp = bm.height()-1;
|
| + }
|
| +
|
| + for (int xOff = 0; xOff < wh; ++xOff) {
|
| + int xSamp = x + xOff - halfFilterSize;
|
| +
|
| + if (xSamp < 0) {
|
| + xSamp = 0;
|
| + } else if (xSamp > bm.width()-1) {
|
| + xSamp = bm.width()-1;
|
| + }
|
| +
|
| + float filter = kernel[yOff*wh + xOff];
|
| +
|
| + SkPMColor c = *bm.getAddr32(xSamp, ySamp);
|
| +
|
| + r += SkGetPackedR32(c) * filter;
|
| + g += SkGetPackedG32(c) * filter;
|
| + b += SkGetPackedB32(c) * filter;
|
| + }
|
| + }
|
| +
|
| + U8CPU r8, g8, b8;
|
| +
|
| + r8 = (U8CPU) (r+0.5f);
|
| + g8 = (U8CPU) (g+0.5f);
|
| + b8 = (U8CPU) (b+0.5f);
|
| +
|
| + return SkPackARGB32(255, r8, g8, b8);
|
| +}
|
| +
|
| +SkBitmap slow_blur(const SkBitmap& src, float sigma) {
|
| + SkBitmap dst;
|
| +
|
| + dst.allocN32Pixels(src.width(), src.height(), true);
|
| +
|
| + int wh;
|
| + SkAutoTDeleteArray<float> kernel(create_2d_kernel(sigma, &wh));
|
| +
|
| + for (int y = 0; y < src.height(); ++y) {
|
| + for (int x = 0; x < src.width(); ++x) {
|
| + *dst.getAddr32(x, y) = blur_pixel(src, x, y, kernel.get(), wh);
|
| + }
|
| + }
|
| +
|
| + return dst;
|
| +}
|
| +
|
| } // namespace sk_tool_utils
|
|
|