Lipschitz and Total-Variational Regularization for Blind Deconvolution

Lipschitz and Total-Variational Regularization for Blind Deconvolution

Year:    2008

Communications in Computational Physics, Vol. 4 (2008), Iss. 1 : pp. 195–206

Abstract

In [3], Chan and Wong proposed to use total variational regularization for both images and point spread functions in blind deconvolution. Their experimental results show that the detail of the restored images cannot be recovered. In this paper, we consider images in Lipschitz spaces, and propose to use Lipschitz regularization for images and total variational regularization for point spread functions in blind deconvolution. Our experimental results show that such combination of Lipschitz and total variational regularization methods can recover both images and point spread functions quite well. 

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2008-CiCP-7787

Communications in Computational Physics, Vol. 4 (2008), Iss. 1 : pp. 195–206

Published online:    2008-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    12

Keywords: