A novel based on parameter optimization for enhancing images

Image enhancement is a very significant topic in medical image processing. This paper introduces a new algorithm about enhancing images that is based on parameter optimization. This algorithm is called the particle swarm optimization (PSO) based on Image Enhancement (PSOIE). First, from input image, the algorithm creates 3 intermediate images using basic transformations: histogram equalization, candy edge detection and median filtering. Next, we use the PSO optimization algorithm to find the optimal coefficients for each image based on the contrast index function. The output image combines three intermediate images with optimized coefficients with the following advantages: enhanced brightness, edge enhancement, image sharpening and noise reduction. The experimental results of the paper show that the proposed algorithm outperforms than some recent methods.