Hyperspectral images lossless compression by a novel three-dimensional wavelet coding

Authors:
Jing Zhang;Guizhong Liu
Affiliations:
Xi'an Jiaotong University, Xi'an, China;Xi'an Jiaotong University, Xi'an, China
Venue:
Proceedings of the 15th international conference on Multimedia
Year:
2007

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Abstract

In this paper, we present a 3D hyperspectral images lossless compression algorithm, which is based on the asymmetric 3D quincunx structured wavelet transform (A3D-QWT) and the adaptive classification coding. A3D-QWT is a simpler 3D transform compared to the classical asymmetric 3D pyramidal wavelet structure (A3D-DWT) with nearly equal entropy; furthermore the spectral correlation after this quincunx structured transform is higher, which is useful to the adaptive classification coding. The adaptive classification coding can make full use of not only the spatial correlation but also the spectral correlation characteristics of hyperspectral images. Experiments show that our method is capable of providing a higher compression performance for hyperspectral images.