A Survey on Image Contrast Enhancement Using Genetic Algorithm

This paper reviews an introduction to various approaches to image contrast enhancement in the spatial domain using genetic algorithm and its extension based on population based incremental learning (PBIL). GA performs efficient search in global spaces to get an optimal solution. The algorithm does not require any prior knowledge about image in Order to select the appropriate enhancement function. GA is more effective in the contrast enhancement and produce image with natural contrast. Histogram equalization and similar methods for image contrast enhancement produce unnatural brightness. This paper introduces various approaches based on genetic algorithm to get image with good and natural contrast.