Image Reconstruction from Sparse Samples Using Directional Total Variation Minimization

Demircan-Tureyen E., Kamaşak M. E., Bayram I.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1185-1188 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2016.7495957
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1185-1188
  • Istanbul Kültür University Affiliated: Yes

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.