Jumping Particle Swarm Optimization Algorithm for Robust Image Watermarking (original) (raw)

2019

Abstract

The tradeoff between the embedding energy of watermark and the perceptual translucence and the image fidelity following attacks represents an important issue in watermarking images. This paper hence proposed a population based method called jumping particle swarm optimization algorithm (JPSO) to improve the ownership and imperceptibility of image. Accordingly, JPSO algorithm is utilized in the maximization the quality of watermarked image, particularly within the extracted watermarks. The former is resolvable via embedding owner’s watermark components of into the host image while the latter is determined by the amount of the embedded scaling factor of the principle components. The robustness of watermarking can be improved using JPSO, where the appropriate scaling factor is optimized. JPSO invisible watermarking involves the use of the host’s global and local characteristics, besides watermark images within the Singular Value Decomposition (SVD) domain. The obtained results of the recommended technique affirm the reliable identification of the watermark image ownership and even following severe attacks. Comparisons with other comparable techniques affirm the superiority of this study’s recommended technique.

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