Using Wavelets and Independent Component Analysis for Quantization Index Modulation Watermarking

Authors:
Jinhua Liu;Kun She;William Zhu
Affiliations:
School of Computer, Univ of Electron.Sci & Tech of China, Chengdu 610054;School of Computer, Univ of Electron.Sci & Tech of China, Chengdu 610054;School of Computer, Univ of Electron.Sci & Tech of China, Chengdu 610054
Venue:
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Year:
2009

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Abstract

In this paper, a watermarking algorithm based on Multiband Wavelet and Independent Component Analysis for Quantization Index Modulation Watermarking was proposed. Unlike the watermark algorithms based on traditional wavelet analysis, where the watermark bits are embedded directly on the middle-frequency wavelet coefficients in the sub image. When we extract the watermark, we applied Independent Component Analysis to extract true watermark. Firstly, we used Primary Component Analysis to preprocess, and then used Independent Component Analysis to extract the watermark. Experimental results showed the proposed algorithm has good robustness against JPEG compression, White Gaussian Noise etc.