A fast two-step deblurring method for satellite images

Author

Chen, Fen ; Wang, Zhensong ; Zhao, Zhongming

Author_Institution

Coll. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

814

Lastpage

819

Abstract

In satellite images processing, image restoration is an important pre-processing step. As some traditional deblurring methods like Wiener filtering often obtain an either smooth or noisy solution, whereas some edge-preserving methods are iterative and time-consuming; a modified Fourier-wavelet deconvolution method (ForWaRD) is proposed in this paper. This method could be implemented forward directly with two steps. From the view of practical engineering, this approach could obtain pretty good results in a fast speed, so it is a suitable method in satellite image restoration area.

Keywords

Fourier transforms; Wiener filters; deconvolution; image restoration; iterative methods; remote sensing; wavelet transforms; Fourier-wavelet deconvolution method; Wiener filtering; deblurring method; edge-preserving method; image restoration; iterative method; noisy solution; satellite image processing; Boundary conditions; Convolution; Deconvolution; Equations; Image restoration; Iterative methods; Optical sensors; Remote sensing; Satellites; Wiener filter; Boundary conditions; For-WaRD; Image deblurring;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811379

Filename

4811379