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Proceedings Paper

Weighted-based arithmetic coding for satellite image compression
Author(s): Jiaji Wu; Shuai Gao; Licheng Jiao; Jechang Jeong
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Paper Abstract

Aiming at the problems of the context-dilution and complicated context-quantization of high-order context, this paper proposes a new context arithmetic coding using weighted-based context modeling. By classifying the weights with non-uniform quantization, conventional high-order context-based arithmetic coding method can be approximated as low-order arithmetic coding. Compared with the existing high-order context modeling, the proposed method not only decreases the complexity of computation but also effectively improves the performance of entropy coding. Experimental results show that the algorithm with proposed weighted-based arithmetic coding method performs better than SPECK, SPIHT and JPEG2000.

Paper Details

Date Published: 24 August 2010
PDF: 9 pages
Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 78100K (24 August 2010); doi: 10.1117/12.860519
Show Author Affiliations
Jiaji Wu, Xidian Univ. (China)
Hanyang Univ. (Korea, Republic of)
Shuai Gao, Xidian Univ. (China)
Licheng Jiao, Xidian Univ (China)
Jechang Jeong, Hanyang Univ. (Korea, Republic of)


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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