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Lossless Data Embedding Using Generalized Statistical Quantity Histogram
文献类型：期刊论文
| 作者 | Gao, Xinbo1; An, Lingling1; Yuan, Yuan2 ; Tao, Dacheng3; Li, Xuelong2
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| 刊名 | ieee transactions on circuits and systems for video technology
 |
| 出版日期 | 2011-08-01 |
| 卷号 | 21期号:8页码:1061-1070 |
| 关键词 | Generalized statistical quantity histogram lossless data embedding reversibility video and image watermarking |
| ISSN号 | 1051-8215 |
| 产权排序 | 2 |
| 合作状况 | 国内 |
| 英文摘要 | histogram-based lossless data embedding (lde) has been recognized as an effective and efficient way for copyright protection of multimedia. recently, a lde method using the statistical quantity histogram has achieved good performance, which utilizes the similarity of the arithmetic average of difference histogram (aadh) to reduce the diversity of images and ensure the stable performance of lde. however, this method is strongly dependent on some assumptions, which limits its applications in practice. in addition, the capacities of the images with the flat aadh, e. g., texture images, are a little bit low. for this purpose, we develop a novel framework for lde by incorporating the merits from the generalized statistical quantity histogram (gsqh) and the histogram-based embedding. algorithmically, we design the gsqh driven lde framework carefully so that it: 1) utilizes the similarity and sparsity of gsqh to construct an efficient embedding carrier, leading to a general and stable framework; 2) is widely adaptable for different kinds of images, due to the usage of the divide-and-conquer strategy; 3) is scalable for different capacity requirements and avoids the capacity problems caused by the flat histogram distribution; 4) is conditionally robust against jpeg compression under a suitable scale factor; and 5) is secure for copyright protection because of the safe storage and transmission of side information. thorough experiments over three kinds of images demonstrate the effectiveness of the proposed framework. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | 信号与模式识别 |
| 类目[WOS] | engineering, electrical & electronic |
| 研究领域[WOS] | engineering |
| 关键词[WOS] | watermarking ; authentication |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000293749700005 |
| 公开日期 | 2011-12-27 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/14379]  |
| 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, Shaanxi, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China 3.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, Fac Engn & Informat Technol, Broadway, NSW 2007, Australia |
| 推荐引用方式 GB/T 7714 | Gao, Xinbo,An, Lingling,Yuan, Yuan,et al. Lossless Data Embedding Using Generalized Statistical Quantity Histogram[J]. ieee transactions on circuits and systems for video technology,2011,21(8):1061-1070. |
| APA | Gao, Xinbo,An, Lingling,Yuan, Yuan,Tao, Dacheng,&Li, Xuelong.(2011).Lossless Data Embedding Using Generalized Statistical Quantity Histogram.ieee transactions on circuits and systems for video technology,21(8),1061-1070. |
| MLA | Gao, Xinbo,et al."Lossless Data Embedding Using Generalized Statistical Quantity Histogram".ieee transactions on circuits and systems for video technology 21.8(2011):1061-1070. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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