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Proceedings Paper

Hyperspectral image compression using distributed arithmetic coding and bit-plane coding
Author(s): Jiaji Wu; Minli Wang; Yong Fang; Jechang Jeong; Licheng Jiao
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Paper Abstract

Hyperspectral images are of very large data size and highly correlated in neighboring bands, therefore, it is necessary to realize the efficient compression performance on the condition of low encoding complexity. In this paper, we propose a method based on both partitioning embedded block and lossless adaptive-distributed arithmetic coding (LADAC). Combined with three-dimensional wavelet transform and SW-SPECK algorithm, LADAC is adopted according to the correlation between the adjacent bit-plane. Experimental results show that our proposed algorithm outperforms 3D-SPECK, furthermore, our method need not take the inter-band prediction or transform into account, so the complexity is small relatively.

Paper Details

Date Published: 24 August 2010
PDF: 8 pages
Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 781018 (24 August 2010); doi: 10.1117/12.860546
Show Author Affiliations
Jiaji Wu, Xidian Univ. (China)
Hanyang Univ. (Korea, Republic of)
Minli Wang, Xidian Univ. (China)
Yong Fang, Northwest A&F Univ. (China)
Jechang Jeong, Hanyang Univ. (Korea, Republic of)
Licheng Jiao, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 7810:
Satellite Data Compression, Communications, and Processing VI
Bormin Huang; Antonio J. Plaza; Joan Serra-Sagristà; Chulhee Lee; Yunsong Li; Shen-En Qian, Editor(s)

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