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Proceedings Paper

The research of hyperspectral image EBCOT lossless compression coding technology based on inter-spectrum adjustable parameter matrix reversible transform and intra-frame IDWT
Author(s): Cheng-jun Xie; Ying Wei; Xin-wen Bi; Hui-zhu Li
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Paper Abstract

This paper presents a new reversible transform of inter-spectrum adjustable parameter matrix, which has better redundancy elimination effect by adjusting magnitude parameter λ and shift parameter δ to adjust transform matrix. Intraframe redundancy is eliminated by integer discrete wavelet transform (IDWT).These two kinds of transforms are all completed entirely by addition and shift, whose fast operation speed makes hardware implementation easier. After interspectrum and intra-frame transform, the hyper-spectral image is coded by improved EBCOT algorithm. Using hyper-spectral images Canal shot by AVIRIS of American JPL laboratory as test images, the experimental results show that in lossless image compression applications the method proposed in this paper is much better than the research results of MST, NIMST, a research team of Chinese Academy of Sciences, DPCMARJ, WinZip and JPEG-LS. The condition in which λ=7 and δ=3 in this paper, on the average the compression ratio using this algorithm increases by 11%, 15%, 18%, 31%, 36%, 38% and 43% respectively compared to the above algorithms. From the foregoing it follows that the algorithm presented in this paper is a very good hyper-spectral image lossless compression coding algorithm.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749428 (30 October 2009); doi: 10.1117/12.831383
Show Author Affiliations
Cheng-jun Xie, Beihua Univ. (China)
Ying Wei, Beihua Univ. (China)
Xin-wen Bi, Beihua Univ. (China)
Hui-zhu Li, Beihua Univ. (China)

Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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