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Proceedings Paper

A lossless compression method based on mix coding and IWT for MODIS image
Author(s): Ruizhi Ren; Shuxu Guo; Lingjia Gu; Lang Wang; Xu Wang
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Paper Abstract

In order to effectively store and transmit MODIS multispectral data, a lossless compression method based on mix coding and integer wavelet transform (IWT) is proposed in this paper. Firstly, the algorithm computes the correlation coefficients between spectrums in MODIS data. Using proper coefficient threshold, the original bands will be divided two groups: one group use spectral prediction method and then compress residual error, while the other group data is directly compressed by some standard compressor. For the spectral prediction group, we can find the current band that has greatest correlation with the previous band by the judgments of correlation coefficient, thus the optimal spectral prediction sequence is obtained by band reordering. The prediction band data can be computed with the previous band data and optimal linear predictor, so the spectral redundancy can be eliminated by using spectral prediction. In order to reduce residual differences in further, the block optimal linear predictor is designed in this paper. Next, except for the first band of the spectral prediction sequence, the residual errors of other bands are encoded by IWT and SPIHT. The direct compression bands and the first band of spectral prediction sequence are compressed by JPEG2000. Finally, the coefficients of block optimal linear predictor and other side information are encoded by adaptive arithmetic coding. The experimental results show that the proposed method is efficient and practical for MODIS data.

Paper Details

Date Published: 31 August 2009
PDF: 9 pages
Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 74550R (31 August 2009); doi: 10.1117/12.825571
Show Author Affiliations
Ruizhi Ren, Jilin Univ. (China)
Shuxu Guo, Jilin Univ. (China)
Lingjia Gu, Jilin Univ. (China)
Lang Wang, Jilin Univ. (China)
Xu Wang, Jilin Univ. (China)

Published in SPIE Proceedings Vol. 7455:
Satellite Data Compression, Communication, and Processing V
Bormin Huang; Antonio J. Plaza; Raffaele Vitulli, Editor(s)

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