Image Enhancement by using the intelligent optimization algorithm with a combination of bacteria and Particle Swarm Optimization

Abstract

Improve the image contrast, plays an important role in the image processing system and it is used to improve image quality or to obtain precise details on the low quality pictures. In this article we have taken improving the image, an optimization problem and in order to optimize improve image function parameters that take advantage of distribution of local gray and global statistical information of original image we proposed a hybrid intelligent algorithm. The advantage of the bacteria and particle swarm optimization algorithm have been combined in Hybrid intelligent algorithms which is given in this article, in addition optimum fitness function is based on entropy information and image border information. The results of simulations and experiments have shown after applying this method in addition to increasing image contrast, detailed information of the target image is also significantly improved and noise reproduction is limited