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Image Reconstruction from Sparse Samples Using Directional Total Variation Minimization

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Author
Demircan Türeyen, Ezgi
Kamasak, Mustafa E.
Bayram, İlker
Type
Article
Date
2016
Language
en_US
Metadata
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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.
Subject
image reconstruction
directional total variation
convex optimization
proximal splitting methods
Algorithms
URI
https://hdl.handle.net/11413/2202
https://doi.org/10.1109/SIU.2016.7495957
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  • Makaleler / Articles [100]
  • WoS Publications [1016]

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İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS