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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Variational Deblurring of Images with Uncertain and Spatially Variant Blurs
verfasst von : Martin Welk, David Theis, Joachim Weickert
Erschienen in: Pattern Recognition
Verlag: Springer Berlin Heidelberg
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We consider the problem of deblurring images which have been blurred by different reasons during image acquisition. We propose a variational approach admitting spatially variant and irregularly shaped point-spread functions. By involving robust data terms, it achieves a high robustness particularly with respect to imprecisions in the estimation of the point-spread function. A good restoration of image features is ensured by using non-convex regularisers and a strategy of reducing the regularisation weight. Experiments with irregular spatially invariant as well as with spatially variant point-spread functions demonstrate the good quality of the method as well as its stability under noise.