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| affine invariant image watermarking using intensity probability density-based harris laplace detector | |
| Wang Xiang-Yang; Niu Pan-Pan; Yang Hong-Ying; Chen Li-Li | |
| 2012 | |
| Source | Journal of Visual Communication and Image Representation
 |
| ISSN | 10473203 |
| Volume | 23Issue:6Pages:892-907 |
| English Abstract | Feature point based image watermarking against geometric distortions has attracted great attention in recent years. However, for the state-of-the-art intensity based feature points detectors, the feature points often gather at textured portions of the image or on the edges where the change of intensity is significant, so that many feature points capture the same portion of the image, which makes the watermark be vulnerable to local geometric distortions. In this paper, we propose an affine invariant image watermarking scheme with good visual quality and reasonable resistance toward local geometric distortions, which utilizes the intensity probability density-based Harris-Laplace detector. Firstly, the uniform and robust feature points are extracted by utilizing modified Harris-Laplace detector, in which the intensity probability density gradient is used instead of intensity gradient. Then, the affine invariant local ellipse regions (LERs) are constructed adaptively according to the variation of local intensity probability density. Finally, the digital watermark is embedded into the affine invariant LERs in nonsubsampled contourlet transform (NSCT) domain by modulating the lowpass NSCT coefficients. By binding the watermark with the affine invariant LERs, the watermark detection can be done without synchronization error. Experimental results show that the proposed image watermarking is not only invisible and robust against common image processing operations such as sharpening, noise adding, and JPEG compression, but also robust against the global affine transforms and local geometric distortions. © 2012 Elsevier Inc. All rights reserved. |
| Indexed Type | ei |
| Department | (1) School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China; (2) State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China |
| Language | 英语 |
| WOS ID | WOS:000307134900007 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14720 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Wang Xiang-Yang,Niu Pan-Pan,Yang Hong-Ying,et al. affine invariant image watermarking using intensity probability density-based harris laplace detector[J]. Journal of Visual Communication and Image Representation,2012,23(6):892-907. |
| APA | Wang Xiang-Yang,Niu Pan-Pan,Yang Hong-Ying,&Chen Li-Li.(2012).affine invariant image watermarking using intensity probability density-based harris laplace detector.Journal of Visual Communication and Image Representation,23(6),892-907. |
| MLA | Wang Xiang-Yang,et al."affine invariant image watermarking using intensity probability density-based harris laplace detector".Journal of Visual Communication and Image Representation 23.6(2012):892-907. |
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| File Name/Size | DocType | Version | Access | License | ||
| 1-s2.0-S104732031200（2538KB） | 开放获取 | License | Application Full Text | |||
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