It takes the average reader 2 hours and 31 minutes to read Blind Image Deconvolution by Subhasis Chaudhuri
Assuming a reading speed of 250 words per minute. Learn more
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.
Blind Image Deconvolution by Subhasis Chaudhuri is 151 pages long, and a total of 37,901 words.
This makes it 51% the length of the average book. It also has 46% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 27 minutes to read Blind Image Deconvolution aloud.
Blind Image Deconvolution is suitable for students ages 10 and up.
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