Global geometric distortion correction in images

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Awrangjeb, Mohammad
Murshed, Manzur
Lu, Guojun
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2006
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Victoria, CANADA

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Abstract

The performance of existing copyright protection schemes is questionable due to their vulnerability to geometric transformations. Though a few of them can resist global geometric transformations like rotation and scaling attacks, most of them are vulnerable to rotation-scale and cropping attacks. This paper presents a novel geometric distortion correction scheme robust to global geometric transformations. It restores an attacked image to its approximate original by reversing the attack using the invariant centroid and geometric moments of the image. Experimental results show the effectiveness of the proposed scheme

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2006 IEEE Workshop on Multimedia Signal Processing

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© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Subject

Information systems

Computer vision and multimedia computation

Science & Technology

Computer Science, Artificial Intelligence

Engineering, Electrical & Electronic

Imaging Science & Photographic Technology

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Awrangjeb, M; Murshed, M; Lu, G, Global geometric distortion correction in images, 2006 IEEE Workshop on Multimedia Signal Processing, 2006, pp. 435-440