Publication: Image Reconstruction from Sparse Samples Using Directional Total Variation Minimization
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Date
2016
Authors
Demircan Türeyen, Ezgi
Kamasak, Mustafa E.
Bayram, İlker
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE, 345 E 47Th St, New York, Ny 10017 USA
Abstract
This paper considers reconstruction of missing pixels and formulates the problem under directional total variation (DTV) regularization. In order to devise an algorithm, forward-backward splitting method is used as a convex optimization tool, in conjunction with a fast projected gradient-based algorithm. The results are compared with the results of TV-based setting, and the utility of using DTV is shown in terms of accuracy, when an image with a dominant direction is the case.
Description
Keywords
image reconstruction, directional total variation, convex optimization, proximal splitting methods, Algorithms