Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking
	An, Lingling 1; Gao, Xinbo 1; Li, Xuelong 2; Tao, Dacheng 3,4; Deng, Cheng 1; Li, Jie 1
刊名	ieee transactions on image processing
	2012-08-01
卷号	21 期号:8 页码:3598-3611
关键词	Integer wavelet transform k-means clustering masking robust reversible watermarking (RRW)
ISSN号	1057-7149
产权排序	2
合作状况	国际
英文摘要	robust reversible watermarking (rrw) methods are popular in multimedia for protecting copyright, while preserving intactness of host images and providing robustness against unintentional attacks. however, conventional rrw methods are not readily applicable in practice. that is mainly because: 1) they fail to offer satisfactory reversibility on large-scale image datasets; 2) they have limited robustness in extracting watermarks from the watermarked images destroyed by different unintentional attacks; and 3) some of them suffer from extremely poor invisibility for watermarked images. therefore, it is necessary to have a framework to address these three problems, and further improve its performance. this paper presents a novel pragmatic framework, wavelet-domain statistical quantity histogram shifting and clustering (wsqh-sc). compared with conventional methods, wsqh-sc ingeniously constructs new watermark embedding and extraction procedures by histogram shifting and clustering, which are important for improving robustness and reducing run-time complexity. additionally, wsqh-sc includes the property-inspired pixel adjustment to effectively handle overflow and underflow of pixels. this results in satisfactory reversibility and invisibility. furthermore, to increase its practical applicability, wsqh-sc designs an enhanced pixel-wise masking to balance robustness and invisibility. we perform extensive experiments over natural, medical, and synthetic aperture radar images to show the effectiveness of wsqh-sc by comparing with the histogram rotation-based and histogram distribution constrained methods.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]	computer science ; engineering
关键词[WOS]	statistical quantity histogram ; digital watermarking ; image watermarking ; authentication ; difference ; model
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000306598100021
公开日期	2012-09-03
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/20244]
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, Peoples R China 2.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia 4.Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia
推荐引用方式 GB/T 7714	An, Lingling,Gao, Xinbo,Li, Xuelong,et al. Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking[J]. ieee transactions on image processing,2012,21(8):3598-3611.
APA	An, Lingling,Gao, Xinbo,Li, Xuelong,Tao, Dacheng,Deng, Cheng,&Li, Jie.(2012).Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking.ieee transactions on image processing,21(8),3598-3611.
MLA	An, Lingling,et al."Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking".ieee transactions on image processing 21.8(2012):3598-3611.