A Wavelet Domain Watermarking Algorithm Based on Fractional Brownian Motion Model

Abstract

This article describes a watermarking algorithm based on Fractional Brownian motion model in wavelet domain. In the watermark embedding process, we have taken advantage of the hearts matrix generated by the fractional brownian motion model, it successfully resolved the problem of watermarking visibility due to human eye' sensibility to low wavelet frequency. In order to enhance the security of the watermark, the algorithm is combined with one-dimensional chaotic scrambling encryption. In this article, we completed a large number of comparative experiments. The results showed the algorithm is very good to solve the contradiction between the transparency and robustness of the watermark. Also it has strong ability to resist conventional signal processing means such as geometric attacks, filtering attacks, noise attacks, and compression attacks. The proposed scheme demonstrates very good performance.