Image Steganography System Based on Optimal Most Significant Bit Ranking and Particle Swarm Optimization

This In this paper, a novel approach of image steganography system is proposed, by taking the features of Most Significant Bit substitute (MSBs) and Enhanced Particle Swarm Optimization (EPSO) using secret key. This work is based on concealing the Most Significant Bits (MSBs) of secret image pixels in a cover image. This novelty reasons better exploration of seek space in order of matrices to find suitable pixel ranking and higher security. The experimental results confirmed that PSNR of the proposed method is higher than mentioned methods which mean the imperceptibility of the image improves. Also the results illustrate that the proposed approach is robust against chi-square attack. The experimental results show the superiority of this approach over the state-of-the-art methods.