DocumentCode :
3851561
Title :
Removing Boundary Artifacts for Real-Time Iterated Shrinkage Deconvolution
Author :
Michal Sorel
Author_Institution :
School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K.
Volume :
21
Issue :
4
fYear :
2012
Firstpage :
2329
Lastpage :
2334
Abstract :
We propose a solution to the problem of boundary artifacts appearing in several recently published fast deblurring algorithms based on iterated shrinkage thresholding in a sparse domain and Fourier domain deconvolution. Our approach adapts an idea proposed by Reeves for deconvolution by the Wiener filter. The time of computation less than doubles.
Keywords :
"Deconvolution","Convolution","Algorithm design and analysis","Transforms","Kernel","Approximation algorithms","Convergence"
Journal_Title :
IEEE Transactions on Image Processing
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2011.2176344
Filename :
6082441
Link To Document :
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