Decision-directed adaptive image restoration using multiple image and blur models
- 25 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We present an adaptive image restoration algorithm that is capable of restoring space-variant, blurs and of suppressing ringing artifacts simultaneously. Suppression of ringing artifacts is achieved by using multiple image models that provide a better match to local edge orientation. Space-variant blur restoration is done by using multiple blur models, assuming that the space-variant blur can be represented by a finite set of blur models. A reduced update Kalman filtering procedure with image-model and blur model detection based on maximum a posteriori probability (MAP) decision is used to restore an image.Keywords
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