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A block compressive sensing based scalable encryption framework for protecting significant image regions
Zhang Y.3; Zhou J.5; Chen F.2; Zhang L.Y.1; Xiao D.4; Chen B.3; Liao X.3
2016-10-01
Source PublicationInternational Journal of Bifurcation and Chaos
ISSN02181274
Volume26Issue:11
Abstract

The existing Block Compressive Sensing (BCS) based image ciphers adopted the same sampling rate for all the blocks, which may lead to the desirable result that after subsampling, significant blocks lose some more-useful information while insignificant blocks still retain some less-useful information. Motivated by this observation, we propose a scalable encryption framework (SEF) based on BCS together with a Sobel Edge Detector and Cascade Chaotic Maps. Our work is firstly dedicated to the design of two new fusion techniques, chaos-based structurally random matrices and chaos-based random convolution and subsampling. The basic idea is to divide an image into some blocks with an equal size and then diagnose their respective significance with the help of the Sobel Edge Detector. For significant block encryption, chaos-based structurally random matrix is applied to significant blocks whereas chaos-based random convolution and subsampling are responsible for the remaining insignificant ones. In comparison with the BCS based image ciphers, the SEF takes lightweight subsampling and severe sensitivity encryption for the significant blocks and severe subsampling and lightweight robustness encryption for the insignificant ones in parallel, thus better protecting significant image regions.

KeywordBlock Compressive Sensing Insignificant Block Encryption Scalable Encryption Framework Significant Block Encryption
DOI10.1142/S0218127416501911
URLView the original
Indexed BySCI
Language英语
WOS Research AreaMathematics ; Science & Technology - Other Topics
WOS SubjectMathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS IDWOS:000387330700018
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Cited Times [WOS]:14   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.City University of Hong Kong
2.Shenzhen University
3.Southwest China Normal University
4.Chongqing University
5.Universidade de Macau
Recommended Citation
GB/T 7714
Zhang Y.,Zhou J.,Chen F.,et al. A block compressive sensing based scalable encryption framework for protecting significant image regions[J]. International Journal of Bifurcation and Chaos,2016,26(11).
APA Zhang Y..,Zhou J..,Chen F..,Zhang L.Y..,Xiao D..,...&Liao X..(2016).A block compressive sensing based scalable encryption framework for protecting significant image regions.International Journal of Bifurcation and Chaos,26(11).
MLA Zhang Y.,et al."A block compressive sensing based scalable encryption framework for protecting significant image regions".International Journal of Bifurcation and Chaos 26.11(2016).
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