LDFT-Based Watermarking Resilient to Local Desynchronization Attacks | |
Tian, Huawei1,2; Zhao, Yao1,3; Ni, Rongrong1,2; Qin, Lunming1,2; Li, Xuelong4 | |
刊名 | ieee transactions on cybernetics |
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 |
内容类型 | 期刊论文 |
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. |
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