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