Paper
30 October 2009 Hyperspectral image compression using distributed source coding and 3D SPECK
Jiaji Wu, Kun Jiang, Yong Fang, Licheng Jiao, Guangming Shi
Author Affiliations +
Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74940Z (2009) https://doi.org/10.1117/12.833599
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
In this paper, we propose a method based on both 3D-SPECK (3D Set Partitioning Embedded Block) and the theory of DSC (Distributed Source Coding) to realize the compression of hyperspectral images. Some experiments have been done to evaluate the compression performance, and the experimental results show that our methods can get competitive performance than 3D-SPECK, 3D-SPIHT.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiaji Wu, Kun Jiang, Yong Fang, Licheng Jiao, and Guangming Shi "Hyperspectral image compression using distributed source coding and 3D SPECK", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940Z (30 October 2009); https://doi.org/10.1117/12.833599
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Image compression

Hyperspectral imaging

Computer programming

3D image processing

Data compression

Signal to noise ratio

3D modeling

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