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 journalArticleResearchpeer-review

1 Citation (Scopus)


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 languageAmerican English
Pages (from-to)229-235
Number of pages7
JournalProceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011
Publication statusPublished - 2011


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


Dive into the research topics of 'Low complexity, high efficiency probability model for hyper-spectral image coding'. Together they form a unique fingerprint.

Cite this