Circularly orthogonal moments for geometrically robust image watermarking

被引：146

作者：

Xin, Yongqing

Liao, Simon

Pawlak, Miroslaw ^{[1
]}

机构：

[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 2N2, Canada

[2] Univ Winnipeg, Dept Appl Comp Sci, Winnipeg, MB R3B 2E9, Canada

来源：

PATTERN RECOGNITION | 2007年 / 40卷 / 12期

关键词：

zernike moment; pseudo-zernike moment; digital watermarking; watermark robustness; geometric distortion;

D O I：

10.1016/j.patcog.2007.05.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Circularly orthogonal moments, such as Zernike moments (ZMs) and pseudo-Zernike moments (PZMs), have attracted attention due to their invariance properties. However, we find that for digital images, the invariance properties of some ZMs/PZMs are not perfectly valid. This is significant for applications of ZMs/PZMs. By distinguishing between the 'good' and 'bad' ZMs/PZMs in terms of their invariance properties, we design image watermarks with 'good' ZMs/PZMs to achieve watermark's robustness to geometric distortions, which has been considered a crucial and difficult issue in the research of digital watermarking. Simulation results show that the embedded information can be decoded at low error rates, robust against image rotation, scaling, flipping, as well as a variety of other common manipulations such as lossy compression, additive noise and lowpass filtering. (c) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：3740 / 3752

页数：13

共 38 条

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