| 期刊全稱 | Blind Image Deconvolution | | 期刊簡稱 | Methods and Converge | | 影響因子2023 | Subhasis Chaudhuri,Rajbabu Velmurugan,Renu Ramesha | | 視頻video | http://file.papertrans.cn/190/189148/189148.mp4 | | 發(fā)行地址 | First ever dedicated text on convergence issues in blind deconvolution.Discusses the conditions under which blind deconvolution works.Presents the nature of image priors which prevents trivial solutio | | 圖書封面 |  | | 影響因子 | .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 restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not..In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior..Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a spa | | Pindex | Book 2014 |
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