Adaptive image enhancement based on particle swarm optimization

A new kind of image adaptive contrast enhancement approach based on particle swarm optimization algorithm and incomplete Beta function is given.The proposed algorithms have both the properties of original particle swarm optimization algorithm and the immune mechanism of immune system,can improve the abilities of approaching the global excellent result.The optimal gray transformation parameters are obtained using the particle swarm optimization algorithm with immunity.Thus an optimal gray transformation curve is obtained and global contrast enhancement is done to the input image based on the optimal gray transformation curve.The results show that the new approach enhance the global contrast of the image effectively and vision.