Abstract
A robust digital image watermarking scheme based on Pseudo-Zernike moments and image normalization is proposed. The goal is to resist both geometric distortion and common signals processing. We construct the geometrically invariant space by using image normalization. The Pseudo-Zernike moments of the normalized image are computed, and some low-order Pseudo-Zernike moments are selected. We embed digital watermark into the host image by quantizing the magnitudes of the selected Pseudo-Zernike moments. Numerical experiments demonstrate that the proposed watermarking scheme is robust to a wide range of geometric attacks and common signals processing.
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