Paper
31 August 2009 A lossless compression method based on mix coding and IWT for MODIS image
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruizhi Ren, Shuxu Guo, Lingjia Gu, Lang Wang, and Xu Wang "A lossless compression method based on mix coding and IWT for MODIS image", Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 74550R (31 August 2009); https://doi.org/10.1117/12.825571
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Cited by 2 scholarly publications.
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KEYWORDS
MODIS

Image compression

JPEG2000

Data compression

Evolutionary algorithms

Data storage

Multispectral imaging

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