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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 7 — Mar. 26, 2012
  • pp: 8199–8206

Lossless compression of hyperspectral images using hybrid context prediction

Yuan Liang, Jianping Li, and Ke Guo  »View Author Affiliations

Optics Express, Vol. 20, Issue 7, pp. 8199-8206 (2012)

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In this letter a new algorithm for lossless compression of hyperspectral images using hybrid context prediction is proposed. Lossless compression algorithms are typically divided into two stages, a decorrelation stage and a coding stage. The decorrelation stage supports both intraband and interband predictions. The intraband (spatial) prediction uses the median prediction model, since the median predictor is fast and efficient. The interband prediction uses hybrid context prediction. The hybrid context prediction is the combination of a linear prediction (LP) and a context prediction. Finally, the residual image of hybrid context prediction is coded by the arithmetic coding. We compare the proposed lossless compression algorithm with some of the existing algorithms for hyperspectral images such as 3D-CALIC, M-CALIC, LUT, LAIS-LUT, LUT-NN, DPCM (C-DPCM), JPEG-LS. The performance of the proposed lossless compression algorithm is evaluated. Simulation results show that our algorithm achieves high compression ratios with low complexity and computational cost.

© 2012 OSA

OCIS Codes
(100.4145) Image processing : Motion, hyperspectral image processing
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

ToC Category:
Image Processing

Original Manuscript: February 16, 2012
Revised Manuscript: March 12, 2012
Manuscript Accepted: March 20, 2012
Published: March 23, 2012

Yuan Liang, Jianping Li, and Ke Guo, "Lossless compression of hyperspectral images using hybrid context prediction," Opt. Express 20, 8199-8206 (2012)

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