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21 March 2005 Robust hash-based image watermarking with resistance to geometric distortions and watermark-estimation attack
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Abstract
The watermarking methods resistant to geometric attacks can be divided into three categories: the first category is to embed the watermark into the geometric invariant domain, the second category proposed to use template or insert periodic watermark pattern for the re-synchronization purpose, and the third category is called “feature-based watermarking scheme” in which the feature points detected in the original image are used to form local regions for both embedding and detection. However, the major weakness is their limited resistance to both extensive geometric distortions and watermark-estimation attack (WEA). In view of this, we propose a mesh-based content-dependent image watermarking method that can withstand geometric distortions and WEA. Because the first category is restricted to be affine invariant and the periodic patterns are easily removed in the second category, we have investigated to find that the third category seems to be the best choice. Our method is mainly composed of three components: (i) robust mesh generation and mesh-based embedding for resisting geometric distortions; (ii) improvement of fidelity using modified Noise Visibility Function (NVF); and (iii) construction of hash-based content-dependent watermark (CDW) for resisting WEA. Experimental results obtained from standard benchmark confirm the robustness of our method.
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Chun-Shien Lu, Shih-Wei Sun, and Pao-Chi Chang "Robust hash-based image watermarking with resistance to geometric distortions and watermark-estimation attack", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); https://doi.org/10.1117/12.586637
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