A Robust Image Watermarking Scheme Based on BWT and ICA

Abstract

A robust image watermarking scheme combined with the human visual characteristics is proposed. Berkeley wavelet transform (BWT) which is used in watermarking embedding procedure simulates physiology characteristics of the mammalian primary visual cortex (V1). Independent Component Analysis (ICA) which is blind separation technology will be adapted to the watermarking extracting procedure. By combining the advantages of BWT and ICA, a robust image watermarking scheme is proposed and a simulation of the scheme is designed. Experimental results demonstrate that the proposed watermarking technique combines the imperceptibility, robustness, real-time and high capacity of digital watermarking algorithms.