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