| Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking | |
| An, Lingling1; Gao, Xinbo1; Li, Xuelong2; Tao, Dacheng3,4; Deng, Cheng1; Li, Jie1 | |
| 作者部门 | 光学影像分析与学习中心 |
| 2012-08-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| ISSN | 1057-7149 |
| 卷号 | 21期号:8页码:3598-3611 |
| 产权排序 | 2 |
| 摘要 | Robust reversible watermarking (RRW) methods are popular in multimedia for protecting copyright, while preserving intactness of host images and providing robustness against unintentional attacks. However, conventional RRW methods are not readily applicable in practice. That is mainly because: 1) they fail to offer satisfactory reversibility on large-scale image datasets; 2) they have limited robustness in extracting watermarks from the watermarked images destroyed by different unintentional attacks; and 3) some of them suffer from extremely poor invisibility for watermarked images. Therefore, it is necessary to have a framework to address these three problems, and further improve its performance. This paper presents a novel pragmatic framework, wavelet-domain statistical quantity histogram shifting and clustering (WSQH-SC). Compared with conventional methods, WSQH-SC ingeniously constructs new watermark embedding and extraction procedures by histogram shifting and clustering, which are important for improving robustness and reducing run-time complexity. Additionally, WSQH-SC includes the property-inspired pixel adjustment to effectively handle overflow and underflow of pixels. This results in satisfactory reversibility and invisibility. Furthermore, to increase its practical applicability, WSQH-SC designs an enhanced pixel-wise masking to balance robustness and invisibility. We perform extensive experiments over natural, medical, and synthetic aperture radar images to show the effectiveness of WSQH-SC by comparing with the histogram rotation-based and histogram distribution constrained methods. |
| 文章类型 | Article |
| 关键词 | Integer Wavelet Transform K-means Clustering Masking Robust Reversible Watermarking (Rrw) |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TIP.2012.2191564 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | STATISTICAL QUANTITY HISTOGRAM ; DIGITAL WATERMARKING ; IMAGE WATERMARKING ; AUTHENTICATION ; DIFFERENCE ; MODEL |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000306598100021 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/20244 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia 4.Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia |
| 推荐引用方式 GB/T 7714 | An, Lingling,Gao, Xinbo,Li, Xuelong,et al. Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2012,21(8):3598-3611. |
| APA | An, Lingling,Gao, Xinbo,Li, Xuelong,Tao, Dacheng,Deng, Cheng,&Li, Jie.(2012).Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking.IEEE TRANSACTIONS ON IMAGE PROCESSING,21(8),3598-3611. |
| MLA | An, Lingling,et al."Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking".IEEE TRANSACTIONS ON IMAGE PROCESSING 21.8(2012):3598-3611. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Robust reversible wa（3273KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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