Deblurring with Framelets in the Sparse Analysis Setting
In this thesis, algorithms for blind and non-blind motion deblurring of digital images are proposed. The non-blind algorithm is based on a convex program consisting of a data fitting term and a sparsity-promoting regularization term. The data fitting term is the squared l_2 norm of the residual b...
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| Language: | English en |
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2013
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| Online Access: | http://hdl.handle.net/1828/5107 |