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

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

doi:10.1109/CCP.2011.10

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

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

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 language	American English
Pages (from-to)	229-235
Number of pages	7
Journal	Proceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011
DOIs	https://doi.org/10.1109/CCP.2011.10
Publication status	Published - 2011

Keywords

bitplane image coding
Hyper-spectral image coding
JPEG2000

Access to Document

10.1109/CCP.2011.10

Link to publication in Scopus

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Low complexity, high efficiency probability model for hyper-spectral image coding. / Aulí-Llinàs, Francesc ; Bartrina-Rapesta, Joan ; Serra-Sagristà, Joan; Marcellin, Michael W.

In: Proceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011, 2011, p. 229-235.

Research output: Contribution to journal › Article › Research › peer-review

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