Image Contrast Enhancement Using GA and PSO: A Survey

Image enhancement as an optimization process is being used rapidly in Image processing system. To enhance the contrast of the images various common methods are proposed in literature including HE and linear Stretching but they give unnatural contrast and brightness in the images. GA as well as PSO both as an optimization method improves contrast and gives better result. This paper reviews an introduction of several approaches for contrast enhancement in spatial domain as well as in frequency domain using Genetic algorithms and Particle swarm optimization algorithm. The survey of this topic leads to the conclusion that field of the PSO applications is growing fast and improving the contrast using PSO will help to solve many complex problems in image processing in the future.