Entropy based Range Optimized Brightness Preserved Histogram-Equalization for Image Contrast Enhancement
Krishna Gopal Dhal, Sankhadip Sen, Kaustav Sarkar, Sanjoy Kumar Das · International Journal of Computer Vision and Image Processing · 2016
In this study the over-enhancement problem of traditional Histogram-Equalization (HE) has been removed to some extent by a variant of HE called Range Optimized Entropy based Bi-Histogram Equalization (ROEBHE). In ROEBHE image histogram has been thresholded into two sub-histograms i.e. histograms corresponding to background and foreground. The threshold is calculated by maximizing the sum of the entropy of these two sub-histograms. The range for equalization has been optimized by maximizing the Peak-Signal to Noise ratio (PSNR). The experimental results prove that ROEBHE has prevailed over existing methods and PSNR is a better range optimizer than Absolute Mean Brightness Error (AMBE).