A block compressive sensing based scalable encryption framework for protecting significant image regions Zhang, Yushu, Zhou, Jiantao, Chen, Fei, Zhang, Leo Yu, Xiao, Di, Chen, Bin and Liao, Xiaofeng 2016, A block compressive sensing based scalable encryption framework for protecting significant image regions, International journal of bifurcation and chaos, vol. 26, no. 11, pp. 1-15, doi: 10.1142/S0218127416501911. Attached Files Name Description MIMEType Size Downloads Title A block compressive sensing based scalable encryption framework for protecting significant image regions Author(s) Zhang, Yushu Zhou, Jiantao Chen, Fei Zhang, Leo Yu Xiao, Di Chen, Bin Liao, Xiaofeng Journal name International journal of bifurcation and chaos Volume number 26 Issue number 11 Article ID 1650191 Start page 1 End page 15 Total pages 15 Publisher World Scientific Publishing Company Place of publication Singapore Publication date 2016-10 ISSN 0218-1274 1793-6551 Keyword(s) scalable encryption framework block compressive sensing significant block encryption insignificant block encryption science & technology physical sciences Language eng DOI 10.1142/S0218127416501911 HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, World Scientific Publishing Company Persistent URL http://hdl.handle.net/10536/DRO/DU:30106241 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 12 Feb 2018, 14:57:11 EST Tue, 13 Feb 2018, 04:00:41 EST Tue, 13 Feb 2018, 06:56:36 EST Thu, 29 Mar 2018, 05:03:02 EST Thu, 29 Mar 2018, 09:27:31 EST Thu, 29 Mar 2018, 09:29:30 EST Thu, 29 Mar 2018, 09:30:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 7 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 12 Feb 2018, 14:57:11 EST

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