A Robustness Watermarking Achievement Algorithm with Block Compressed Sensing Theory

Abstract:

In order to take into account the tradeoff relation between the watermark quality and the watermark robustness in digital image copyright protection, a novel generation method of image watermarking is proposed with block compressed sensing in DWT domain. The watermark data are formed by utilizing measurement values of blocking compressed sensing to fingerprint image, and are embedded into all sub-blocks of the LLn sub-band of the transformed host image. Experimental results show that the introduction of compressed sensing theory improves the robustness for resisting attacks and recovery quality of the fingerprint image watermarking.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 1445-1452
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.1445
• Online since: February 2014
• Authors: Hui Min Zhao*, Xiao Ling Chen
• Keywords: Block Compressed Sensing, DWT, Robustness, Watermarking

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