| Content-adaptive reliable robust lossless data embedding | |
An, Lingling3; Gao, Xinbo2,3; Yuan, Yuan1 ; Tao, Dacheng4; Deng, Cheng3; Ji, Feng3
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| 作者部门 | 光学影像分析与学习中心 |
| 2012-03-01 | |
| 发表期刊 | NEUROCOMPUTING
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| ISSN | 0925-2312 |
| 卷号 | 79页码:1-11 |
| 产权排序 | 2 |
| 摘要 | It is well known that robust lossless data embedding (RLDE) methods can be used to protect copyright of digital images when the intactness of host images is highly demanded and the unintentional attacks may be encountered in data communication. However, the existing RLDE methods cannot be applied satisfactorily to the practical scenarios due to different drawbacks, e.g., serious "salt-and-pepper" noise, low capacity and unreliable reversibility. In this paper, we propose an effective solution to RLDE by improving the histogram rotation (HR)-based embedding model. The proposed method is a content-adaptive reliable RLDE or CAR for short. It eliminates the "salt-and-pepper" noise in HR by the pixel adjustment mechanism. Therefore, reliable regions for embedding can be well constructed. Furthermore, we basically expect the watermark strengths to be adaptive to different image contents, and thus we have a chance to make an effective tradeoff between invisibility and robustness. The luminance masking together with the threshold strategy is duly adopted in the proposed RLDE method, so the just noticeable distortion thresholds of different local regions can be well utilized to control the watermark strengths. Experimental evidence on 300 test images including natural, medical and synthetic aperture radar (SAR) images demonstrates the effectiveness of the proposed data embedding method. |
| 文章类型 | Article |
| 关键词 | Histogram Rotation Just Noticeable Distortion Robust Lossless Data Embedding |
| 学科领域 | Computer Science |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.neucom.2011.08.019 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | STATISTICAL QUANTITY HISTOGRAM ; DIGITAL WATERMARKING ; IMAGE WATERMARKING |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000300138900001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/20246 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 2.Xidian Univ, Minist Educ China, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China 3.Xidian Univ, Sch Elect Engn, VIPS Lab, Xian 710071, Peoples R China 4.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia |
| 推荐引用方式 GB/T 7714 | An, Lingling,Gao, Xinbo,Yuan, Yuan,et al. Content-adaptive reliable robust lossless data embedding[J]. NEUROCOMPUTING,2012,79:1-11. |
| APA | An, Lingling,Gao, Xinbo,Yuan, Yuan,Tao, Dacheng,Deng, Cheng,&Ji, Feng.(2012).Content-adaptive reliable robust lossless data embedding.NEUROCOMPUTING,79,1-11. |
| MLA | An, Lingling,et al."Content-adaptive reliable robust lossless data embedding".NEUROCOMPUTING 79(2012):1-11. |
| 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 | ||
| Content-adaptive rel（1427KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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