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Memory Free Bias Convolution

Feb 19th, 2015
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  1. public static void convolve(int[] pixels, int offset, int stride, int x, int y, int width, int height, int[][] matrix, int parts) {
  2. int index = offset + x + (y*stride);
  3. for (int j = 0; j < height; j++, index += stride) {
  4. for (int k = 0; k < width; k++) {
  5. int pos = index + k;
  6. pixels[pos] = convolve(pixels,stride,pos, matrix, parts);
  7. }
  8. }
  9. }
  10.  
  11. private static int crimp(int color) {
  12. return (color >= 0xFF) ? 0xFF : (color < 0) ? 0 : color;
  13. }
  14.  
  15. private static int convolve(int[] pixels, int stride, int index, int[][] matrix, int parts) {
  16. int redSum = 0;
  17. int greenSum = 0;
  18. int blueSum = 0;
  19.  
  20. int pixel, factor;
  21.  
  22. for (int j = 0, m = matrix.length; j < m; j++, index+=stride) {
  23. for (int k = 0, n = matrix[j].length; k < n; k++) {
  24. pixel = pixels[index + k];
  25. factor = matrix[j][k];
  26.  
  27. redSum += factor * ((pixel >> 16) & 0xFF);
  28. greenSum += factor * ((pixel >> 8) & 0xFF);
  29. blueSum += factor * ((pixel) & 0xFF);
  30. }
  31. }
  32. return 0xFF000000 | ((crimp(redSum / parts) << 16) | (crimp(greenSum / parts) << 8) | (crimp(blueSum / parts)));
  33. }
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