Compression of multispectral images by three-dimensional SPIHT algorithm

Author

Dragotti, Pier Luigi ; Poggi, Giovanni ; Ragozini, Arturo R P

Author_Institution

Dipt. di Ingegneria Elettronica, Naples Univ., Italy

Volume

38

Issue

1

fYear

2000

fDate

1/1/2000 12:00:00 AM

Firstpage

416

Lastpage

428

Abstract

The authors carry out low bit-rate compression of multispectral images by means of the Said and Pearlman´s SPIHT algorithm, suitably modified to take into account the interband dependencies. Two techniques are proposed: in the first, a three-dimensional (3D) transform is taken (wavelet in the spatial domain, Karhunen-Loeve in the spectral domain) and a simple 3D SPIHT is used; in the second, after taking a spatial wavelet transform, spectral vectors of pixels are vector quantized and a gain-driven SPIHT is used. Numerous experiments on two sample multispectral images show very good performance for both algorithms

Keywords

Karhunen-Loeve transforms; data compression; geophysical signal processing; geophysical techniques; image coding; multidimensional signal processing; remote sensing; terrain mapping; vector quantisation; wavelet transforms; Karhunen-Loeve Transform; SPIHT; geophysical measurement technique; image compression; image processing; interband dependence; land surface; low bit-rate compression; multispectral image; multispectral remote sensing; optical imaging; set partitioning in hierarchical trees; spatial domain; spatial wavelet transform; spectral domain; spectral vector; terrain mapping; three-dimensional algorithm; three-dimensional transform; vector quantization; vector quantized; wavelet transform; Data compression; Image coding; Image sensors; Multispectral imaging; Redundancy; Remote monitoring; Transform coding; Vector quantization; Wavelet domain; Wavelet transforms;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.823937

Filename

823937