To expand a dynamic range of brightness is generally effective to enhance a contrast of a gray image. On the other hand, contrast enhancement that is based on the evaluation of spatial features in an objective image such as strength of edges is also useful to generate a visual contrastive result. This paper describes experiments to evaluate effective spatial features for contrast enhancement using the method to determine a relation between input and output gray levels that adapt to an input image by the genetic algorithm. Experimental results show that increasing the sum of edge strengths was an important condition for generating a visual contrastive image.
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