Blind Digital Watermarking Algorithm in Wavelet Domain Using Artificial Immune Optimization
Jianling Gao, Jiaojiao Feng, Fan Chen · 2019
With the development of Internet technology, copyright of digital image has become more and more important. In order to enhance digital watermark image and further balance between robustness and invisibility, a blind digital watermarking algorithm in wavelet domain using artificial immune optimization is proposed. Firstly, the algorithm divides low frequency coefficient matrix into several blocks with length denoted as n and width denoted as m. Secondly, the watermark embedding position is found according to the JND mean of sub-blocks based on the JND model, and the watermark is embedded by ks grouping scheme. The best value of ks is obtained by artificial immune optimization algorithm. Results of experiment show that the proposed algorithm has good invisibility and better robustness.