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Proceedings Paper

MST-embedded JPEG-LS: application to lossless compression of ultraspectral sounder data
Author(s): Bormin Huang; Alok Ahuja
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Paper Abstract

JPEG-LS1 is the new ISO/ITU standard for lossless and near-lossless compression of 2D continuous-tone images. For contemporary and future ultraspectral sounder data that features good correlations in disjoint spectral channels, we develop an MST-embedded JPEG-LS (Minimum Spanning Tree embedded JPEG-LS) for achieving higher compression gains through MST channel reordering. Unlike previous non-embedded MST work with other cost functions used only for data preprocessing, the MST-embedded JPEG-LS uniquely uses the sum of absolute median prediction errors as the cost function for MST to determine each optimal pair of predicting and predicted channels. The MST can be embedded within JPEG-LS because of the same median prediction used in JPEG-LS. The advantage of this embedding is that the median prediction residuals are available to JPEG-LS after MST channel reordering without recalculation. Numerical experiments show that the MST-embedded JPEG-LS yields an average compression ratio of 2.81, superior to 2.46 obtained with JPEG-LS for the 10 standard ultraspectral granules.

Paper Details

Date Published: 29 September 2006
PDF: 6 pages
Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 63650P (29 September 2006); doi: 10.1117/12.690295
Show Author Affiliations
Bormin Huang, Univ. of Wisconsin, Madison (United States)
Alok Ahuja, Univ. of Wisconsin, Madison (United States)


Published in SPIE Proceedings Vol. 6365:
Image and Signal Processing for Remote Sensing XII
Lorenzo Bruzzone, Editor(s)

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