AbstractIn recent years attention has focused on digital image watermarking as a method for copyright protection of digital images. Since users of images make distortions such as enlarging or reducing images depending on the application, digital image watermarking which is robust to geometric distortions has been demanded. Compensation for changes in the relative position of pixels is needed in order to allow watermarking to be detected from images with geometric distortions. In this paper we propose a method that uses feature points to perform compensations and then use frequency components to embed and detect watermarks. The feature points are obtained by a Harris‐Affine detector. At first, ellipsoids around a feature point are extracted from an image, each ellipsoid normalized to a circle, and a watermark embedded into that frequency component. Geometric distortion compensation is then performed by extracting ellipsoids in the same manner during detection and normalizing the ellipsoids into circles to detect watermarks. Using feature points for the compensation eliminates the need to embed markers for original images and positioning thereby making it possible to compensate for affine distortions such as scale and rotation. Furthermore, since one elliptical embedment region is determined for each single feature point, the watermark insertion region can be correctly extracted even if detection of several feature points fails due to distortion. © 2007 Wiley Periodicals, Inc. Syst Comp Jpn, 38(10): 1– 11, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.20670
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