Global geometric distortion correction in images

被引：11

作者：

Awrangjeb, Mohammad ^{[1
]}

Murshed, Manzur ^{[1
]}

Lu, Guojun ^{[1
]}

机构：

[1] Monash Univ, Gippsland Sch Informat Technol, Churchill, Vic 3842, Australia

来源：

2006 IEEE WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING | 2006年

关键词：

D O I：

10.1109/MMSP.2006.285346

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：435 / +

页数：2

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