Medical Image Enhancement using Salp Swarm Algorithm

Abstract

The article suggests the idea of digital image enhancement using Salp Swarm Algorithm (SSA). The input image is enhanced by increasing the pixel intensity via cost function containing local and global information. The output analysis of the suggested algorithm is presented with respect to the Number of Detected Edges, Entropy, Peak Signal to Noise Ratio (PSNR), Detail Variance (DV), and Background Variance (BV). The simulation results demonstrated that the suggested SSA algorithm is superior to other meta-heuristic techniques.