We can further improve histogram equalization by applying an algorithm called Contrast Limited Adaptive Histogram Equalization (CLAHE), resulting in higher quality output images.
The result of applying histogram equalization is an image with higher global contrast. Giving a linear trend to the cumulative distribution function (CDF).Evenly spreading out and distributing the most frequent pixel values (i.e., the ones with the largest counts in the histogram).Computing a histogram of image pixel intensities.Doing so enables areas of low contrast to obtain higher contrast in the output image.Įssentially, histogram equalization works by: Histogram equalization is a basic image processing technique that adjusts the global contrast of an image by updating the image histogram’s pixel intensity distribution.
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