DocumentCode
2026114
Title
Nonstationary Blind Image Restoration using Variational Methods
Author
Bishop, Tom E. ; Molina, Rafael ; Hopgood, James R.
Author_Institution
Edinburgh Univ., Edinburgh
Volume
1
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
The variational Bayesian approach has recently been proposed to tackle the blind image restoration (BIR) problem. We consider extending the procedures to include realistic boundary modelling and non-stationary image restoration. Correctly modelling the boundaries is essential for achieving accurate blind restorations of photographic images, whilst nonstationary models allow for better adaptation to local image features, and therefore improvements in quality.
Keywords
Bayes methods; image restoration; nonstationary blind image restoration; photographic images; variational Bayesian methods; Automatic control; Bayesian methods; Deconvolution; Image processing; Image restoration; Layout; Parameter estimation; Robustness; Signal processing; Uncertainty; Blind Deconvolution; Boundary modelling; Non-stationary Image models; Variational Bayesian methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4378907
Filename
4378907
Link To Document