Title :
Nonstationary Blind Image Restoration using Variational Methods
Author :
Bishop, Tom E. ; Molina, Rafael ; Hopgood, James R.
Author_Institution :
Edinburgh Univ., Edinburgh
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;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4378907