Image Enhancement Using Histogram Equalization Based On Genetic Algorithm

Image enhancement is one of the challenging issues in low level image processing. Contrast enhancement techniques are used for improving visual quality of low contrast images. Histogram Equalization (HE) method is one such technique used for contrast enhancement. It is a contrast enhancement technique with the objective to obtain a new enhanced image with a uniform histogram. In this paper, instead of using conventional image enhancement techniques, we proposed a method called genetic algorithm for the enhancement of images. This algorithm is fast and very less time consuming as compared to other techniques such as global histogram equalization by taking CDF and finding out the transfer function. Here in our work we are going to enhance images using histogram equalization of images by reconfiguring their pixel spacing using optimization through GA (Genetic algorithm). We will get more optimized results with the use of GA with respect to other optimization techniques.