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Media Hash-dependent Image Watermarking Resilient Against Both Geometric Attacks and Estimation Attacks Based on False Positive-Oriented Detection

By Chun-shien Lu, Shih-wei Sun, Chao-yong Hsu and Pao-chi ChangChun-shien Lu, Shih-wei Sun, Chao-yong Hsu and Pao-chi Chang

Abstract

The major disadvantage of existing watermarking methods is their limited resistance to extensive geometric attacks. In addition, we have found that the weakness of multiple watermark embedding methods that were initially designed to resist geometric attacks is their inability to withstand the watermark-estimation attacks (WEAs), leading to reduce resistance to geometric attacks. In view of these facts, this paper proposes a robust image watermarking scheme that can withstand geometric distortions and WEAs simultaneously. Our scheme is mainly composed of two components: (i) mesh generation and embedding to resist geometric distortions; and (ii) construction of media hash-based content-dependent watermark (CDW) to resist WEAs. Furthermore, we propose a false positive-oriented watermark detection mechanism, which can be used to determine the existence of a watermark so as to achieve a trade-off between correct detection and false detection. Extensive experimental results obtained using the standard benchmark and WEAs, and comparisons with relevant watermarking methods confirm the excellent performance of our method in improving robustness. To our knowledge, such a thorough evaluation has not been reported in th

Topics: Attack, Copyright protection, Embedding, Mesh, Media Hash, Robustness, Watermark
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.330.5305
Provided by: CiteSeerX
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