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Robust coding of encrypted images via structural matrix
Zhang Y.2; Wong K.-W.1; Zhang L.Y.1; Wen W.3; Zhou J.4; He X.2
2015
Source PublicationSignal Processing: Image Communication
ISSN09235965
Volume39Pages:202-211
Abstract

In this work, we intend to design a robust coder, based on compressive sensing with structurally random matrix, for encrypted images over packet transmission networks. The proposed coder can be applied in the scenario that Alice needs a semi-trusted channel provider Charlie to encode and transmit the encrypted image to Bob. In particular, Alice first encrypts an image using globally random permutation and then sends the encrypted image to Charlie who samples the encrypted image using a structural matrix. Through an imperfect channel with packet loss, Bob receives the compressive measurements and reconstructs the original image by joint decryption and decoding. Experimental results show that the proposed coder can be considered as an efficient multiple description coder with a number of descriptions against packet loss.

KeywordMultiple Description Code Packet Loss Robust Coding Of Encrypted Image Structural Matrix
DOI10.1016/j.image.2015.09.001
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000367412700015
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Cited Times [WOS]:10   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.City University of Hong Kong
2.Southwest China Normal University
3.Jiangxi University of Finance and EcoNomics
4.Universidade de Macau
Recommended Citation
GB/T 7714
Zhang Y.,Wong K.-W.,Zhang L.Y.,et al. Robust coding of encrypted images via structural matrix[J]. Signal Processing: Image Communication,2015,39:202-211.
APA Zhang Y.,Wong K.-W.,Zhang L.Y.,Wen W.,Zhou J.,&He X..(2015).Robust coding of encrypted images via structural matrix.Signal Processing: Image Communication,39,202-211.
MLA Zhang Y.,et al."Robust coding of encrypted images via structural matrix".Signal Processing: Image Communication 39(2015):202-211.
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