DocumentCode :
3110677
Title :
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
Link To Document :
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