Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions
文献类型：期刊论文
| 作者 | Gao, Xinbo1; Deng, Cheng1; Li, Xuelong2; Tao, Dacheng3 |
| 刊名 | ieee transactions on systems man and cybernetics part c-applications and reviews
 |
| 出版日期 | 2010-05-01 |
| 卷号 | 40期号:3页码:278-286 |
| 关键词 | Affine covariant region (ACR) dominant gradient image normalization image watermarking orientation alignment |
| ISSN号 | 1094-6977 |
| 通讯作者 | x. gao |
| 合作状况 | 其它 |
| 英文摘要 | feature-based image watermarking schemes, which aim to survive various geometric distortions, have attracted great attention in recent years. existing schemes have shown robustness against rotation, scaling, and translation, but few are resistant to cropping, nonisotropic scaling, random bending attacks (rbas), and affine transformations. seo and yoo present a geometrically invariant image watermarking based on affine covariant regions (acrs) that provide a certain degree of robustness. to further enhance the robustness, we propose a new image watermarking scheme on the basis of seo's work, which is insensitive to geometric distortions as well as common image processing operations. our scheme is mainly composed of three components: 1) feature selection procedure based on graph theoretical clustering algorithm is applied to obtain a set of stable and nonoverlapped acrs; 2) for each chosen acr, local normalization, and orientation alignment are performed to generate a geometrically invariant region, which can obviously improve the robustness of the proposed watermarking scheme; and 3) in order to prevent the degradation in image quality caused by the normalization and inverse normalization, indirect inverse normalization is adopted to achieve a good compromise between the imperceptibility and robustness. experiments are carried out on an image set of 100 images collected from internet, and the preliminary results demonstrate that the developed method improves the performance over some representative image watermarking approaches in terms of robustness. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | 信号与模式识别 ; 计算机应用其他学科（含图像处理） |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics ; computer science, interdisciplinary applications |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | scale-space representation ; genetic watermarking ; feature points ; detectors ; retrieval ; scheme |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000276683400004 |
| 公开日期 | 2011-01-11 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/8559]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 3.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore |
| 推荐引用方式 GB/T 7714 | Gao, Xinbo,Deng, Cheng,Li, Xuelong,et al. Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions[J]. ieee transactions on systems man and cybernetics part c-applications and reviews,2010,40(3):278-286. |
| APA | Gao, Xinbo,Deng, Cheng,Li, Xuelong,&Tao, Dacheng.(2010).Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions.ieee transactions on systems man and cybernetics part c-applications and reviews,40(3),278-286. |
| MLA | Gao, Xinbo,et al."Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions".ieee transactions on systems man and cybernetics part c-applications and reviews 40.3(2010):278-286. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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