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Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling
Jiantao Zhou1,2; Oscar C. Au3; Guangtao Zhai4; Yuan Yan Tang5; Xianming Liu6
2014-11-01
Source PublicationIEEE Transactions on Information Forensics and Security
ISSN1556-6013
Volume9Issue:11Pages:1857-1868
Abstract

This paper proposes a novel scalable compression method for stream cipher encrypted images, where stream cipher is used in the standard format. The bit stream in the base layer is produced by coding a series of nonoverlapping patches of the uniformly down-sampled version of the encrypted image. An off-line learning approach can be exploited to model the reconstruction error from pixel samples of the original image patch, based on the intrinsic relationship between the local complexity and the length of the compressed bit stream. This error model leads to a greedy strategy of adaptively selecting pixels to be coded in the enhancement layer. At the decoder side, an iterative, multiscale technique is developed to reconstruct the image from all the available pixel samples. Experimental results demonstrate that the proposed scheme outperforms the state-of-the-arts in terms of both rate-distortion performance and visual quality of the reconstructed images at low and medium rate regions.

KeywordAdaptive Sampling Image Compression Scalable Coding Signal ProcessIng In Encrypted domaIn
DOIhttps://doi.org/10.1109/TIFS.2014.2352455
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000343884600003
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Fulltext Access
Citation statistics
Cited Times [WOS]:14   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorJiantao Zhou; Oscar C. Au; Guangtao Zhai; Yuan Yan Tang; Xianming Liu
Affiliation1.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China
2.UMacau Zhuhai Research Institute, Zhuhai 519080, China
3.Department of Electronics and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong
4.Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai 200030, China
5.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China
6.School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Jiantao Zhou,Oscar C. Au,Guangtao Zhai,et al. Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling[J]. IEEE Transactions on Information Forensics and Security,2014,9(11):1857-1868.
APA Jiantao Zhou,Oscar C. Au,Guangtao Zhai,Yuan Yan Tang,&Xianming Liu.(2014).Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling.IEEE Transactions on Information Forensics and Security,9(11),1857-1868.
MLA Jiantao Zhou,et al."Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling".IEEE Transactions on Information Forensics and Security 9.11(2014):1857-1868.
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