DocumentCode :
575916
Title :
A spatial and spectral combined image restoration approach
Author :
Zhang, Yifan
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3509
Lastpage :
3512
Abstract :
In this paper, an image restoration framework is presented, by using two available observations of specific spatial and spectral resolutions. The proposed approach employs an Expectation-Maximization (EM) algorithm based multi-band image restoration scheme, in which both observation models are used for restoration. Experimental results illustrate that the proposed restoration approach is capable of producing improved restored results, compared to existing restoration approaches, in which only one observation model is utilized while the other observation is treated as auxiliary.
Keywords :
expectation-maximisation algorithm; geophysical image processing; image restoration; EM algorithm; expectation-maximization algorithm; multiband image restoration scheme; observation model; spatial restoration approach; spectral restoration approach; Gaussian noise; Hyperspectral imaging; Image restoration; Signal to noise ratio; Spatial resolution; Expectation-Maximizition (EM) algorithm; hyperspectral; restoration; spatial; spectral;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350663
Filename :
6350663
Link To Document :
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