Entropy based Range Optimized Brightness Preserved Histogram-Equalization for Image Contrast Enhancement

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.

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