Improving image watermarking based on Tabu search by Chaos

TL;DR

This paper enhances image watermarking by integrating Chaos theory with Tabu search, improving quality and speed through modified permutation and initial population strategies.

Contribution

The paper introduces a novel combination of Chaos and Tabu search to improve image watermarking performance and efficiency.

Findings

Improved watermarking quality on standard images

Faster processing times compared to previous methods

Enhanced robustness of watermark embedding

Abstract

With the fast development of communication and multimedia technology, the rights of the owners of multimedia products is vulnerable to the unauthorized copies and watermarking is one of the best known methods for proving the ownership of a product. In this paper we prosper the previous watermarking method which was based on Tabu search by Chaos. The modification applied in the permutation step of watermarking and the initial population generation of the Tabu search. We analyze our method on some well known images and experimental results shows the improvement in the quality and speed of the proposed watermarking method.