中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Local Feature Based Geometric-Resistant Image Information Hiding

文献类型:期刊论文

作者Gao, Xinbo2; Deng, Cheng2; Li, Xuelong3; Tao, Dacheng1
刊名cognitive computation
出版日期2010-06-01
卷号2期号:2页码:68-77
关键词Visual cognition Image watermarking Scale invariant feature transform Orientation alignment Discrete Fourier transform
ISSN号1866-9956
通讯作者x. gao
合作状况其它
英文摘要watermarking aims to hide particular information into some carrier but does not change the visual cognition of the carrier itself. local features are good candidates to address the watermark synchronization error caused by geometric distortions and have attracted great attention for content-based image watermarking. this paper presents a novel feature point-based image watermarking scheme against geometric distortions. scale invariant feature transform (sift) is first adopted to extract feature points and to generate a disk for each feature point that is invariant to translation and scaling. for each disk, orientation alignment is then performed to achieve rotation invariance. finally, watermark is embedded in middle-frequency discrete fourier transform (dft) coefficients of each disk to improve the robustness against common image processing operations. extensive experimental results and comparisons with some representative image watermarking methods confirm the excellent performance of the proposed method in robustness against various geometric distortions as well as common image processing operations.
WOS标题词science & technology ; technology ; life sciences & biomedicine
学科主题信号与模式识别 ; 计算机应用其他学科(含图像处理)
类目[WOS]computer science, artificial intelligence ; neurosciences
研究领域[WOS]computer science ; neurosciences & neurology
关键词[WOS]watermarking scheme ; frequency domain ; feature points ; detectors ; scale
收录类别SCI ; EI
语种英语
WOS记录号WOS:000292776400002
公开日期2011-01-11
源URL[http://ir.opt.ac.cn/handle/181661/8564]  
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.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
2.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
3.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
推荐引用方式
GB/T 7714
Gao, Xinbo,Deng, Cheng,Li, Xuelong,et al. Local Feature Based Geometric-Resistant Image Information Hiding[J]. cognitive computation,2010,2(2):68-77.
APA Gao, Xinbo,Deng, Cheng,Li, Xuelong,&Tao, Dacheng.(2010).Local Feature Based Geometric-Resistant Image Information Hiding.cognitive computation,2(2),68-77.
MLA Gao, Xinbo,et al."Local Feature Based Geometric-Resistant Image Information Hiding".cognitive computation 2.2(2010):68-77.

入库方式: OAI收割

来源:西安光学精密机械研究所

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