Lossless Data Embedding Using Generalized Statistical Quantity Histogram

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

	Lossless Data Embedding Using Generalized Statistical Quantity Histogram
	Gao, Xinbo 1; An, Lingling 1; Yuan, Yuan2 ; Tao, Dacheng 3; Li, Xuelong 2
刊名	ieee transactions on circuits and systems for video technology
	2011-08-01
卷号	21 期号:8 页码:1061-1070
关键词	Generalized statistical quantity histogram lossless data embedding reversibility video and image watermarking
ISSN号	1051-8215
产权排序	2
合作状况	国内
英文摘要	histogram-based lossless data embedding (lde) has been recognized as an effective and efficient way for copyright protection of multimedia. recently, a lde method using the statistical quantity histogram has achieved good performance, which utilizes the similarity of the arithmetic average of difference histogram (aadh) to reduce the diversity of images and ensure the stable performance of lde. however, this method is strongly dependent on some assumptions, which limits its applications in practice. in addition, the capacities of the images with the flat aadh, e. g., texture images, are a little bit low. for this purpose, we develop a novel framework for lde by incorporating the merits from the generalized statistical quantity histogram (gsqh) and the histogram-based embedding. algorithmically, we design the gsqh driven lde framework carefully so that it: 1) utilizes the similarity and sparsity of gsqh to construct an efficient embedding carrier, leading to a general and stable framework; 2) is widely adaptable for different kinds of images, due to the usage of the divide-and-conquer strategy; 3) is scalable for different capacity requirements and avoids the capacity problems caused by the flat histogram distribution; 4) is conditionally robust against jpeg compression under a suitable scale factor; and 5) is secure for copyright protection because of the safe storage and transmission of side information. thorough experiments over three kinds of images demonstrate the effectiveness of the proposed framework.
学科主题	信号与模式识别
WOS标题词	science & technology ; technology
类目[WOS]	engineering, electrical & electronic
研究领域[WOS]	engineering
关键词[WOS]	watermarking ; authentication
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000293749700005
公开日期	2011-12-27
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/14379]
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, Shaanxi, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China 3.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	Gao, Xinbo,An, Lingling,Yuan, Yuan,et al. Lossless Data Embedding Using Generalized Statistical Quantity Histogram[J]. ieee transactions on circuits and systems for video technology,2011,21(8):1061-1070.
APA	Gao, Xinbo,An, Lingling,Yuan, Yuan,Tao, Dacheng,&Li, Xuelong.(2011).Lossless Data Embedding Using Generalized Statistical Quantity Histogram.ieee transactions on circuits and systems for video technology,21(8),1061-1070.
MLA	Gao, Xinbo,et al."Lossless Data Embedding Using Generalized Statistical Quantity Histogram".ieee transactions on circuits and systems for video technology 21.8(2011):1061-1070.