Yuxin Zhao, Guangjie Liu, Yue-wei Dai, Zhiquan Wang
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A RST-Resilient Watermarking Scheme Based on Invariant Features
A RST-resilient watermarking scheme based on invariant features are proposed in this paper. The scale-invariant points of wavelet low-frequency sub-image are used to realize resynchronization after RST (Rotation Scale Translation) attacks. An improved HVS model is adopted to embed multiplicative spread spectrum watermark in DWT (Discrete Wavelet Transform) domain, and optimal water- marking detection algorithm is employed to enhance robustness of watermarking. Experiments demonstrate that the proposed scheme can resist both RST and general image processing attacks.