Abstract
Considering that the traditional method of histogram equalization can make the image produce unnatural enhanced results,a new color image contrast enhancement approach was proposed,which equalized color components by dependently using co-occurrence matrix.Firstly,gray correlative characteristics of pixels were combined in 3×3 neighborhoods to construct a co-occurrence matrix.Secondly,the method of co-occurrence histogram equalization was applied to luminance component only and the chrominance components were preserved.Finally,dark channel prior was used to solve the problem mentioned above to obtain the ideal image.Comparing the proposed enhanced algorithm with the other three typical enhancement algorithms,it is shown that the proposed algorithm not only considers the whole and local image information,but also deals with the histogram spikes and halo effect.The experimental results demonstrate that the proposed method can enhance the color images effectively.
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