Lossless and gradual coding of hyperspectral images by lifting scheme

Author

Chourou, A. ; Benazza-Benyahia, A.

Author_Institution

Unite de Rech. en Imagerie Satellitaire et ses Applic., Ecole Super. des Commun. de Tunis, Ariana, Tunisia

fYear

2007

fDate

3-7 Sept. 2007

Firstpage

629

Lastpage

633

Abstract

In this paper, we are interested in compactly coding hyperspectral images for applications requiring a progressive and exact reconstruction. For this purpose, a two-step procedure is envisaged. Firstly, a spectral clustering of the whole data set is carried out. Then, within each spectral cluster, a band-ordering of the images is operated and the spectral and spatial similarities are simultaneously taken into account through an extended version of a lifting-based decomposition scheme. Our contribution relies on coupling these two steps and in optimizing the band-ordering procedure.

Keywords

geophysical image processing; geophysical techniques; hyperspectral imaging; image reconstruction; optimisation; band-ordering images; data set; gradual coding; hyperspectral images; image band-ordering procedure; image reconstruction; lifting scheme; lifting-based decomposition scheme; lossless coding; optimization; spatial similarities; spectral cluster; spectral similarities; Encoding; Entropy; Europe; Hyperspectral imaging; Image coding; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2007 15th European

Conference_Location

Poznan

Print_ISBN

978-839-2134-04-6

Type

conf

Filename

7098879