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

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
URLView the original
Indexed BySCI
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:000370063605138
Fulltext Access
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhou J.]'s Articles
[Au O.C.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou J.]'s Articles
[Au O.C.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou J.]'s Articles
[Au O.C.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.