Interference Multispectral Image Compression with Adaptive Distortion Control in Fourier Domain

Author

Ma, Jing ; Wu, Chengke ; Chen, Dong ; Guo, Jie

Author_Institution

Nat. Key Lab. on Integrated Service Networks, Xidian Univ., Xian

fYear

2007

fDate

27-29 March 2007

Firstpage

395

Lastpage

395

Abstract

The interferential spectrometer is considered as the next generation of imaging spectrometers in aerial remote sensing. The customary multispectral images compression methods only consider the quality of reconstructed images in spatial domain without concerning the effect in Fourier domain where the application of spectrum is often used, such as substance classification and recognition. Our method WRDO-SPIHT (weighted rate-distortion optimization for SPIHT) is proposed based on the relationship between the distortion in Fourier domain and compression in spatial domain.

Keywords

Fourier transform optics; data compression; image coding; image reconstruction; interference spectrometers; rate distortion theory; remote sensing; set theory; spectral analysis; trees (mathematics); Fourier domain; WRDO-SPIHT; adaptive distortion control; aerial remote sensing; hierarchical trees; image quality; image reconstruction; interference multispectral image compression; interferential spectrometer; set partitioning; spatial domain; weighted rate-distortion optimization; Adaptive control; Image coding; Image recognition; Image reconstruction; Interference; Multispectral imaging; Programmable control; Rate-distortion; Remote sensing; Spectroscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 2007. DCC '07

Conference_Location

Snowbird, UT

ISSN

1068-0314

Print_ISBN

0-7695-2791-4

Type

conf

DOI

10.1109/DCC.2007.49

Filename

4148796