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Weighted Histogram Equalization Using Entropy of Probability Density Function
Thaweesak Trongtirakul' and Sos S. Agaian' Department of Electrical Engineering, Faculty of Industrial Education, Rajamangala University of Technology Phra Nakhon, Thailand, This email address is being protected from spambots. You need JavaScript enabled to view it., Graduate Center, City University of New York, United States of America, This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract: Low-contrast image enhancement is essential for high-quality image display and other visual applications. However, it is a challenging task as the enhancement is expected to increase the visibility of an image while maintaining its naturalness. In this paper, the weighted histogram equalization using the entropy of the probability density function is proposed. The computation of the local mapping functions utilizes the relationship between non-height bin and height bin distributions. Finally, the complete tone mapping function is produced by concatenating local mapping functions. Computer simulation results on the CSIQ dataset demonstrate that the proposed method produces images with higher visibility and visual quality, which outperforms traditional and recently proposed contrast enhancement algorithms methods in qualitative and quantitative metrics.
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