中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 西安光学精密机械研究所
  3. 中国科学院西安光学精密机械研究所
  4. 光学影像学习与分析中心
LDFT-Based Watermarking Resilient to Local Desynchronization Attacks

文献类型：期刊论文

作者Tian, Huawei1,2; Zhao, Yao1,3; Ni, Rongrong1,2; Qin, Lunming1,2; Li, Xuelong4
刊名ieee transactions on cybernetics
出版日期2013-12-01
卷号43期号:6页码:2190-2201
关键词Local daisy feature transform (LDFT) robust watermarking
英文摘要up to now, a watermarking scheme that is robust against desynchronization attacks (das) is still a grand challenge. most image watermarking resynchronization schemes in literature can survive individual global das (e.g., rotation, scaling, translation, and other affine transforms), but few are resilient to challenging cropping and local das. the main reason is that robust features for watermark synchronization are only globally invariable rather than locally invariable. in this paper, we present a blind image watermarking resynchronization scheme against local transform attacks. first, we propose a new feature transform named local daisy feature transform (ldft), which is not only globally but also locally invariable. then, the binary space partitioning (bsp) tree is used to partition the geometrically invariant ldft space. in the bsp tree, the location of each pixel is fixed under global transform, local transform, and cropping. lastly, the watermarking sequence is embedded bit by bit into each leaf node of the bsp tree by using the logarithmic quantization index modulation watermarking embedding method. simulation results show that the proposed watermarking scheme can survive numerous kinds of distortions, including common image-processing attacks, local and global das, and noninvertible cropping.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; computer science, cybernetics
研究领域[WOS]computer science
关键词[WOS]digital image watermarking ; interest point detectors ; geometric distortions ; part i ; robust ; algorithms ; scale ; recognition ; transform ; features
收录类别SCI ; EI
语种英语
WOS记录号WOS:000327647500056
公开日期2015-06-30
源URL[http://ir.opt.ac.cn/handle/181661/23446]  
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.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
2.Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China
3.State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Tian, Huawei,Zhao, Yao,Ni, Rongrong,et al. LDFT-Based Watermarking Resilient to Local Desynchronization Attacks[J]. ieee transactions on cybernetics,2013,43(6):2190-2201.
APA Tian, Huawei,Zhao, Yao,Ni, Rongrong,Qin, Lunming,&Li, Xuelong.(2013).LDFT-Based Watermarking Resilient to Local Desynchronization Attacks.ieee transactions on cybernetics,43(6),2190-2201.
MLA Tian, Huawei,et al."LDFT-Based Watermarking Resilient to Local Desynchronization Attacks".ieee transactions on cybernetics 43.6(2013):2190-2201.

入库方式： OAI收割

来源：西安光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。