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

Jonathan Delcourt (1) , Alamin Mansouri (2) , Tadeusz Sliwa (2) , Yvon Voisin (2)

1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
2 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]

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.

Mots clés: Multi/hyperspectral images; compression; wavelets

Domaines: Informatique [cs]; Traitement du signal et de l'image [eess.SP]; Sciences de l'ingénieur [physics]; Traitement du signal et de l'image [eess.SP]

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⟩