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Proceedings Paper

Classified coset coding based lossless compression of hyperspectral images
Author(s): Juan Song; Yunsong Li; Haiying Liu; Xianyun Wu; Keyan Wang
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Paper Abstract

Due to the restrained resources on board, compression methods with low complexity are desirable for hyperspectral images. A low-complexity scalar coset coding based distributed compression method (s-DSC) has been proposed for hyperspectral images. However there still exists much redundancy since the bitrate of the block to be encoded is determined by its maximum prediction error. In this paper, a classified coset coding based lossless compression method is proposed to further reduce the bitrate. The current block is classified to make the pixels with similar spectral correlation cluster together. Then each class of pixels is coset coded respectively. The experimental results show that the classification could reduce the bitrate efficiently.

Paper Details

Date Published: 16 September 2011
PDF: 8 pages
Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 81570V (16 September 2011); doi: 10.1117/12.895426
Show Author Affiliations
Juan Song, Xidian Univ. (China)
Yunsong Li, Xidian Univ. (China)
Haiying Liu, Xidian Univ. (China)
Xianyun Wu, Xidian Univ. (China)
Keyan Wang, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 8157:
Satellite Data Compression, Communications, and Processing VII
Bormin Huang; Antonio J. Plaza; Carole Thiebaut, Editor(s)

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