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A Robust Feature- based Digital Image Watermarking Scheme Using Fourier-Mellin Transform
One of the common attacks, which can be applied on watermarked image, is rotation. In this paper, we try to propose a feature-based image watermarking algorithm which has the most level of robustness against rotation attack. For this purpose, Fourier Mellin Transform (FMT) is used. The most important property of Fourier Mellin Transform is it’s insensitivity against rotation and scaling. Our algorithm uses Harris corner detector for embedding the watermark. By performing FMT on these feature points, the advantage of insensitivity against scaling will be added to property of invariant to rotation. We use Fourier Mellin Transform to benefit its second property means insensitivity against translation to increase the robustness of watermark against attacks. The obtained results of our algorithm show that the watermarked image is in a high level of transparency.
Image watermarking, Harris corner detector, Fourier-Mellin Transform, Geometric attacks
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