An Image Watermarking Scheme Robust to Geometric Distortion Based on SIFT Feature
2020
A geometrically robust image watermarking scheme based on scale invariant feature transform (SIFT) and pseudo-Zernike moment is proposed. Firstly, the steady feature points are extracted from the host image by using SIFT; then the size and orientation of each local feature region are ascertained adaptively according to its feature scale and orientation; Lastly, some un-overlapped local feature regions with large-scale are selected for embedding watermarking, and the same digital watermarking is embedded into each local feature region by quantizing the magnitudes of the pseudo-Zernike moments. Simulation results show that the proposed watermarking scheme is invisible, and robust against common signal processing and geometric attacks.
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