A Bio-Inspired Content Adaptive Approach for Multiresolution-Based Image Watermarking

In this paper, the authors propose a new procedure for copyright protection by using a bio-inspired wavelet based data hiding approach. The proposed method takes advantage of human visual system (HVS) characteristics to provide better watermarked image quality. It also exploits visual secret sharing (VSS) technique to guarantee the security of the procedure. Performance improvement with respect to the existing algorithms is obtained by genetic algorithm (GA) optimization. The experimental results show that the proposed algorithm yields a watermark that is invisible to human eyes and is robust to various intentional and unintentional attacks. The experimental results are also compared with the results of some previous works.