Nonstationary Blind Image Restoration using Variational Methods

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...

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Bibliographic Details
Main Authors: Bishop, T.E., Molina, R., Hopgood, J.R.
Format: Conference Proceeding
Language:English
Subjects:
Automatic control
Bayesian methods
Blind Deconvolution
Boundary modelling
Deconvolution
Image processing
Image restoration
Layout
Non-stationary Image models
Parameter estimation
Robustness
Signal processing
Uncertainty
Variational Bayesian methods
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Description
Summary: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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2007.4378907