Abstract:Independent Component Analysis (ICA), which is presented in studying the prob-lem of blind source separation, is a novel method of signal processing and data analysis. Using ICA, the source signals can be extracted only from the observations according to the statistic independent characteristics of the input signals, even without the coefficients of the source sig-nals and the transfer channels. In this paper, an image is considered as a mixture of several independent feature causes, and the ICA is used both on the original image and the watermark image respectively, A new approach of embodying digital watermark is proposed. The simu-lation results show that the embedded digital watermark can be extracted correctly, and the robustness exists in the new approach.
刘琚; 孙建德. 基于图像独立特征分解的数字水印方法[J]. 电子与信息学报, 2003, 25(9): 1174-1179 .
Liu Ju; Sun Jiande. AN APPROACH OF WATERMARKING BASED ON INDEPENDENT FEATURE DECOMPOSITION OF IMAGE. , 2003, 25(9): 1174-1179 .