An evaluation framework and a benchmark for multi/hyperspectral image compression - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Computer Vision Graphics and Image Processing Année : 2011

An evaluation framework and a benchmark for multi/hyperspectral image compression

(1) , (2) , (2) , (2)
1
2

Résumé

This paper benchmarks three multi/hyperspectral image compression approaches: the classic Multi-2D compression approach and two different implementations of 3D approach (Full 3D and Hybrid). All approaches are combined with a spectral PCA decorrelation stage to optimize performance. These three compression approaches are compared within a larger comparison framework than the conventionally used PSNR, which includes eight metrics divided into three families. The comparison is carried out with regard to variations in bitrates, spatial, and spectral dimensions variations of images. The time and memory consumption difference between the three approaches is also discussed. Results of this comparison show the weaknesses and strengths of each approach.
Fichier principal
Vignette du fichier
IJCVIP.pdf (1.63 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00637853 , version 1 (03-11-2011)

Identifiants

Citer

Jonathan Delcourt, Alamin Mansouri, Tadeusz Sliwa, Yvon Voisin. An evaluation framework and a benchmark for multi/hyperspectral image compression. Computer Vision Graphics and Image Processing, 2011, 1 (1), pp.55-71. ⟨10.4018/ijcvip.2011010105⟩. ⟨hal-00637853⟩
306 Consultations
602 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More