Histogram Equalization is a contrast enhancement technique in the imageprocessing which uses the histogram of image. However histogram equalization isnot the best method for contrast enhancement because the mean brightness of theoutput image is significantly different from the input image. There are severalextensions of histogram equalization has been proposed to overcome thebrightness preservation challenge. Contrast enhancement using brightnesspreserving bi-histogram equalization (BBHE) and Dualistic sub image histogramequalization (DSIHE) which divides the image histogram into two parts based onthe input mean and median respectively then equalizes each sub histogramindependently. This paper provides review of different popular histogramequalization techniques and experimental study based on the absolute meanbrightness error (AMBE), peak signal to noise ratio (PSNR), Structuresimilarity index (SSI) and Entropy.
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