Scalable coding of stream cipher encrypted images via adaptive sampling
Zhou J.2; Au O.C.1
2014-01-28
Conference NameIEEE International Conference on Image Processing (ICIP)
Source Publication2014 IEEE International Conference on Image Processing, ICIP 2014
Pages5522-5526
Conference DateOCT 27-30, 2014
Conference PlaceParis, FRANCE
Abstract

This work proposes a novel scalable image compression method for stream cipher encrypted images. The bit stream in the base layer is produced by coding a series of non-overlapping patches of the uniformly down-sampled version of the encrypted image. An off-line learning approach can be exploited to model the reconstruction error of 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, multi-scale technique is developed to reconstruct the image from available pixel samples. Experimental results demonstrate that the proposed scheme outperforms the state-of-the-art in terms of rate-distortion (RD) performance at low and medium rate regions.

KeywordImage Compression Over Encrypted Domain Scalable Image Coding
DOI10.1109/ICIP.2014.7026117
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:000370063605138
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Hong Kong University of Science and Technology
2.Universidade de Macau
Recommended Citation
GB/T 7714
Zhou J.,Au O.C.. Scalable coding of stream cipher encrypted images via adaptive sampling[C],2014:5522-5526.
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