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- W2543526180 abstract "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)." @default.
- W2543526180 created "2016-11-04" @default.
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- W2543526180 date "2016-01-01" @default.
- W2543526180 modified "2023-09-27" @default.
- W2543526180 title "Entropy based Range Optimized Brightness Preserved Histogram-Equalization for Image Contrast Enhancement" @default.
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- W2543526180 doi "https://doi.org/10.4018/ijcvip.2016010105" @default.
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