Low complexity, high efficiency probability model for hyper-spectral image coding

Francesc Aulí-Llinàs, Joan Bartrina-Rapesta, Joan Serra-Sagristà, Michael W. Marcellin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper describes a low-complexity, high-efficiency lossy-to-lossless coding scheme for hyper-spectral images. Together with only a 2D wavelet transform on individual image components, the proposed scheme achieves coding performance similar to that achieved by a 3D transform strategy that adds one level of wavelet decomposition along the depth axis of the volume. The proposed schemes operates by means of a probability model for symbols emitted by the bit plane coding engine. This probability model captures the statistical behavior of hyper-spectral images with high precision. The proposed method is implemented in the core coding system of JPEG2000 reducing computational costs by 25%.

Original languageEnglish (US)
Title of host publicationProceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011
Pages229-235
Number of pages7
DOIs
StatePublished - Nov 21 2011
Event1st International Conference on Data Compression, Communication, and Processing, CCP 2011 - Palinuro, Cilento Coast, Italy
Duration: Jun 21 2011Jun 24 2011

Publication series

NameProceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011

Other

Other1st International Conference on Data Compression, Communication, and Processing, CCP 2011
CountryItaly
CityPalinuro, Cilento Coast
Period6/21/116/24/11

Keywords

  • Hyper-spectral image coding
  • JPEG2000
  • bitplane image coding

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Aulí-Llinàs, F., Bartrina-Rapesta, J., Serra-Sagristà, J., & Marcellin, M. W. (2011). Low complexity, high efficiency probability model for hyper-spectral image coding. In Proceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011 (pp. 229-235). [6061130] (Proceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011). https://doi.org/10.1109/CCP.2011.10