An Invisible Image Watermarking Based On Modified Particle Swarm Optimization (PSO) Algorithm

Tradeoff between the embedding energy of watermark and the perceptual translucence and the image fidelity following attacks represent an important issue in watermarking images. The present work introduces a brand new invisible watermarking algorithm grounded on modified Particle Swarm Optimization (PSO) algorithm with Human Visual System (HVS) model into consideration. The purpose was to improve the ownership and imperceptibility of image. In PSO invisible watermarking, the global and local characteristics of the host as well as watermark images within the Singular Value Decomposition (SVD) domain were utilized. The experimental results of Modified PSO (JPSO) algorithm demonstrate high PSNR values for the watermarked images, while the watermark remains invisible under numerous signal processing, in particular, the attack of watermark removal (also, adaptive watermarking in the different types of attacks).