Histogram equalization of java images

Histogram equalization is to make the histogram of the image as average as possible, so that the probability of each 0-255 is equal. The formula is as follows:

#This proof can be found in any image processing textbook. The implementation code is provided below:

public void histequalization(){
		toGray();
		double[] hist = math.Norm(hist());
		for (int y = 0; y < h; y++) {
                  for (int x = 0; x < w; x++) {
                   this.data[x + y * w] = (int)(math.sum(hist, this.data[x + y * w])*255); //上面公式           
                 }
              }
	}

The results are as follows:

Original picture:

# #After histogram equalization:

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