Blind Image Deconvolution: Methods And Convergence by Subhasis ChaudhuriBlind Image Deconvolution: Methods And Convergence by Subhasis Chaudhuri

Blind Image Deconvolution: Methods And Convergence

bySubhasis Chaudhuri, Rajbabu Velmurugan, Renu Rameshan

Paperback | September 22, 2016

Pricing and Purchase Info


Earn 623 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


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 sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.

Title:Blind Image Deconvolution: Methods And ConvergenceFormat:PaperbackDimensions:151 pages, 23.5 × 15.5 × 0.02 inPublished:September 22, 2016Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319352164

ISBN - 13:9783319352169


Table of Contents

Introduction.- Mathematical Background.- Blind Deconvolution Methods: A Review.- MAP Estimation: When Does it Work?.- Convergence Analysis in Fourier Domain.- Spatial Domain Convergence Analysis.- Sparsity-based Blind Deconvolution.- Conclusions and Future Research Directions.