Weighted-based arithmetic coding for satellite image compression

Jiaji Wu; Shuai Gao; Licheng Jiao; Jechang Jeong

doi:10.1117/12.860519

24 August 2010 Weighted-based arithmetic coding for satellite image compression

Jiaji Wu, Shuai Gao, Licheng Jiao, Jechang Jeong

Proceedings Volume 7810, Satellite Data Compression, Communications, and Processing VI; 78100K (2010) https://doi.org/10.1117/12.860519
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

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.

Citation Download Citation

Jiaji Wu, Shuai Gao, Licheng Jiao, and Jechang Jeong "Weighted-based arithmetic coding for satellite image compression", Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 78100K (24 August 2010); https://doi.org/10.1117/12.860519

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KEYWORDS

Image compression

JPEG2000

Quantization

Satellites

Earth observing sensors

Satellite imaging

Performance modeling

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