| Robust lossless data hiding using clustering and statistical quantity histogram | |
An, Lingling2; Gao, Xinbo2,3; Yuan, Yuan1 ; Tao, Dacheng4
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| 作者部门 | 光学影像分析与学习中心 |
| 2012-02-01 | |
| 发表期刊 | NEUROCOMPUTING
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| ISSN | 0925-2312 |
| 卷号 | 77期号:1页码:1-11 |
| 产权排序 | 2 |
| 摘要 | Lossless data hiding methods usually fail to recover the hidden messages completely when the watermarked images are attacked. Therefore, the robust lossless data hiding (RLDH), or the robust reversible watermarking technique, is urgently needed to effectively improve the recovery performance. To date a couple of methods have been developed; however, they have such drawbacks as poor visual quality and low capacity. To solve this problem, we develop a novel statistical quantity histogram shifting and clustering-based RLDH method or SQH-SC for short. The benefits of SQH-SC in comparison with existing typical methods include: (1) strong robustness against lossy compression and random noise due to the usage of k-means clustering; (2) good imperceptibility and reasonable performance tradeoff due to the consideration of the just noticeable distortion of images; (3) high capacity due to the flexible adjustment of the threshold; and (4) wide adaptability and good stability to different kinds of images. Extensive experimental studies based on natural images, medical images, and synthetic aperture radar (SAR) images demonstrate the effectiveness of the proposed SQH-SC. |
| 文章类型 | Article |
| 关键词 | Just Noticeable Distortion K-means Clustering Robust Lossless Data Hiding Statistical Quantity Histogram |
| 学科领域 | Computer Science |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.neucom.2011.06.012 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | 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:000298206400001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/20245 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.Xidian Univ, VIPS Lab, Sch Elect Engn, Xian 710071, Peoples R China 3.Xidian Univ, Key Lab Intelligent Percept & Image Understanding, Minist Educ China, Xian 710071, Peoples R China 4.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 | An, Lingling,Gao, Xinbo,Yuan, Yuan,et al. Robust lossless data hiding using clustering and statistical quantity histogram[J]. NEUROCOMPUTING,2012,77(1):1-11. |
| APA | An, Lingling,Gao, Xinbo,Yuan, Yuan,&Tao, Dacheng.(2012).Robust lossless data hiding using clustering and statistical quantity histogram.NEUROCOMPUTING,77(1),1-11. |
| MLA | An, Lingling,et al."Robust lossless data hiding using clustering and statistical quantity histogram".NEUROCOMPUTING 77.1(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 | ||
| Robust lossless data（910KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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