Vol.3 No.2 (April 2013)
Dynamic Histogram Equalization Algorithm Based on Human Visual System
In this paper, we propose an adaptive image equalization algorithm that automatically enhances the contrast in an input image. The histogram is firstly smoothed through the max filter and exponential function filter. The troughs of the histogram, which are the local min positions, are used to partition the dynamic range of the image into gray-level intervals. The contrast equalized image is generated by transforming the pixels’ gray-levels in each input interval to the appropriate output gray-level interval according to the mean value, standard deviation and the cumulative distribution function of the input interval, based on human visual system. Experimental results show that the proposed algorithm produces better or comparably enhanced images than several state-of-the-art algorithms. The proposed algorithm is free of parameter setting and can be applied to a wide range of image types. The algorithm also can be used in real-time system.
单建华 , 何金洪 (2013) 基于人类视觉系统的动态直方图均衡算法。 计算机科学与应用， 3， 110-116. doi: 10.12677/CSA.2013.32019
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