A Histogram Modification Framework and Its Application for Image Contrast Enhancement
Arici, T.; Dikbas, S.; Altunbasak, Y.
Image Processing, IEEE Transactions on
Volume 18, Issue 9, Sept. 2009 Page(s):1921 - 1935
Digital Object Identifier 10.1109/TIP.2009.2021548
Summary:A general framework based on histogram equalization for image contrast enhancement is presented. In this framework, contrast enhancement is posed as an optimization problem that minimizes a cost function. Histogram equalization is an effective technique for contrast enhancement. However, a conventional histogram equalization (HE) usually results in excessive contrast enhancement, which in turn gives the processed image an unnatural look and creates visual artifacts. By introducing specifically designed penalty terms, the level of contrast enhancement can be adjusted; noise robustness, white/black stretching and mean-brightness preservation may easily be incorporated into the optimization. Analytic solutions for some of the important criteria are presented. Finally, a low-complexity algorithm for contrast enhancement is presented, and its performance is demonstrated against a recently proposed method.
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