There is this image comparison code I am supposed to modify to highlight/point out the difference between two images. Is there a way to modify this code so as to highlight the differences in images. If not any suggestion on how to go about it would be greatly appreciated.
int width1 = img1.getWidth(null);
int width2 = img2.getWidth(null);
int height1 = img1.getHeight(null);
int height2 = img2.getHeight(null);
if ((width1 != width2) || (height1 != height2)) {
System.err.println("Error: Images dimensions mismatch");
System.exit(1);
}
long diff = 0;
for (int i = 0; i < height1; i++) {
for (int j = 0; j < width1; j++) {
int rgb1 = img1.getRGB(j, i);
int rgb2 = img2.getRGB(j, i);
int r1 = (rgb1 >> 16) & 0xff;
int g1 = (rgb1 >> 8) & 0xff;
int b1 = (rgb1) & 0xff;
int r2 = (rgb2 >> 16) & 0xff;
int g2 = (rgb2 >> 8) & 0xff;
int b2 = (rgb2) & 0xff;
diff += Math.abs(r1 - r2);
diff += Math.abs(g1 - g2);
diff += Math.abs(b1 - b2);
}
}
double n = width1 * height1 * 3;
double p = diff / n / 255.0;
return (p * 100.0);
What I would do is set each pixel to be the difference between one pixel in one image and the corresponding pixel in the other image. The difference that is being calculated in your original code is based on the L1 norm. This is also called the sum of absolute differences too. In any case, write a method that would take in your two images, and return an image of the same size that sets each location to be the difference for each pair of pixels that share the same location in the final image. Basically, this will give you an indication as to which pixels are different. The whiter the pixel, the more difference there is between these two corresponding locations.
I'm also going to assume you're using a
BufferedImage
class, asgetRGB()
methods are used and you are bit-shifting to access individual channels. In other words, make a method that looks like this:To call this method, simply do:
This is assuming that you are calling this within a method of your class. Have fun and good luck!
This solution did the trick for me. It highlights differences, and has the best performance out of the methods I've tried. (Assumptions: images are the same size. This method hasn't been tested with transparencies.)
Average time to compare a 1600x860 PNG image 50 times (on same machine):
Does anyone have a better/faster solution?
Usage:
Some inspiration...