DocumentCode :
2113850
Title :
Multispectral image compression using hierarchical vector quantization
Author :
Kamano, Akiko ; Morimoto, Masakazu ; Nagura, Riichi
Author_Institution :
Dept. of Comp. Eng., Himeji Inst. of Tech, Japan
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
1856
Abstract :
With the increasing performances of remote sensing systems, the problem of image compression for efficient transmission and storage becomes more urgent. There are many high efficiently lossy image compression standards, but they are mainly targeted on the human visual system, and designed to compress three-band (RGB) color images. In this paper, we propose a hierarchical VQ (HVQ) encoder for multispectral remote sensing image, which realizes high coding efficiency and easy codebook specification. Simulation results show that the HVQ encoder outperforms the distortion about 25% than a normal VQ encoder for the same compression rate
Keywords :
geophysical signal processing; image coding; remote sensing; vector quantisation; HVQ; codebook specification; coding efficiency; hierarchical VQ; hierarchical vector quantization; multispectral image compression; remote sensing systems; Color; Degradation; Image coding; Image storage; Multispectral imaging; Remote monitoring; Remote sensing; Satellites; Vector quantization; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.977095
Filename :
977095
Link To Document :
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