Local Contrast Enhancement by Optimizing Image Separation Using Genetic Algorithm
Fumihiko Saitoh · IEEJ Transactions on Electronics Information and Systems · 2001
This paper proposes a method to obtain a good contrast image by optimizing the number of local areas and by changing the positions of the boundaries for local contrast enhancement according to the conditions of an objective gray-scaled image. The genetic algorithm is applied to determine the optimal image separation. A chromosome is represented by a pair of arrays that show the positions of the boundaries to separate an image. The fitness of an individual is evaluated by the sharpness of the image that is measured by the delta-histograms of the enhanced image and the blurred image. The experimental results show that the natural enhanced images with few noises were generated by the proposed method in comparison with the conventional methods.