Titlebook: Blind Image Deconvolution; Methods and Converge Subhasis Chaudhuri,Rajbabu Velmurugan,Renu Ramesha Book 2014 Springer International Publish

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Dissonance

Synchrone Perspektive auf Deformalisierung,posed are reviewed in this chapter. We also devote a separate section to motion deblur, since there is a renewed interest in this area and a large volume of publications has come up recently in this area.

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ts the nature of image priors which prevents trivial solutio.Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restora

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Lernen zwischen Formalität und Informalitätdeconvolution. A method of handling ill-posedness through regularization is also discussed. Statistical estimation methods like maximum a posteriori probability and maximum likelihood estimation are explained. Optimization methods such as alternate minimization and iterative shrinkage/thresholding algorithms are also detailed in this chapter.

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Mathematical Background,iew concepts from matrix theory and operator theory. We define ill-posedness of a problem and provide an explanation to the ill-posed nature of blind deconvolution. A method of handling ill-posedness through regularization is also discussed. Statistical estimation methods like maximum a posteriori p