@inproceedings{75fd0b46b94d4be8aaf401481a668cd2,
title = "Y{\"o}nl{\"u} en d{\"u}{\c s}{\"u}k toplam deǧ{\.i}{\c s} {\.i}nt{\.i}",
abstract = "Total variation minimization (TVM) is an isotropic functional that penalizes the abrupt changes in all directions in the images. Isotropic TVM is frequently used as image prior as there are typically no dominant direction of the objects in the images. However, in some cases, objects in the image may have a dominant direction. In these cases directional TVM can be preferred instead of isotropic TVM. In this work, implementation of directional TVM is described and its application for image denoising is demonstrated.",
author = "Ilker Bayram and Kama{\c s}ak, {Mustafa E.}",
year = "2012",
doi = "10.1109/SIU.2012.6204477",
language = "T{\"u}rk{\c c}e",
isbn = "9781467300568",
series = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",
}