DocumentCode :
1507579
Title :
A Blind Restoration Method for Remote Sensing Images
Author :
Huanfeng Shen ; Lijun Du ; Liangpei Zhang ; Wei Gong
Author_Institution :
Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China
Volume :
9
Issue :
6
fYear :
2012
Firstpage :
1137
Lastpage :
1141
Abstract :
This letter proposes a blind image restoration method for the deblurring of remote sensing images. A simple but robust identification method of point spread function (PSF) support is proposed, and a joint estimation method is presented to simultaneously solve the PSF coefficients and restoration image. To narrow the solution space for the best possible definition, the Huber-Markov (Huber-Markov random field) prior model is employed to regularize the two series of unknowns. Experiments were performed to demonstrate the effectiveness of the proposed approach.
Keywords :
geophysical image processing; geophysical techniques; image classification; image restoration; remote sensing; Huber-Markov random field; PSF coefficients; blind image restoration method; point spread function; remote sensing image deblurring; robust identification method; Deconvolution; Estimation; Image restoration; Joints; Measurement; Optimized production technology; Remote sensing; Blind restoration; joint estimation; support identification;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2012.2190038
Filename :
6194272
Link To Document :
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