Cross-entropy Histogram Equalization

This paper introduces a novel cross-entropy Histogram Equalization method. The new algorithm is based on separating the density spectrum of an image and then minimizing the so-called Cross-Entropy between the brightness and darkness components. Cross-entropy is used to measure the information-theoretic distance between the image's brightness and darkness. Experimental results show that the cross-entropy histogram equalization method has better performance than Bi-histogram equalization and its modified weighted form.