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Resolution-progressive compression of encrypted grayscale images

9 years 4 months ago
Resolution-progressive compression of encrypted grayscale images
Compression of encrypted data can be achieved by employing Slepian-Wolf coding (SWC). However, how to efficiently exploit the source dependency in an encrypted colored signal such as an image remains a challenging issue. Previous works incorporate 2D Markov models in the SWC, which is not accurate enough for natural grayscale images; as a result, the compression performance is usually poor. In this paper, we propose to compress the image progressively, such that the decoder can observe a low-resolution version of the image, from which local statistics is learned and used for the decoding of the next resolution level. Good performance is observed both theoretically and experimentally.
Wei Liu, Wenjun Zeng, Lina Dong, Qiuming Yao
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Wei Liu, Wenjun Zeng, Lina Dong, Qiuming Yao
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