A New Scoring Method for Directional Dominance in Images

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10425)


We aim to develop a scoring method for expressing directional dominance in the images. It is predicted that this score will give an information of how much improvement in system performance can be achieved when using a directional total variation (DTV)-based regularization instead of total variation (TV). For this purpose, a dataset consists of 85 images taken from the noise reduction datasets is used. The DTV values are calculated by using different sensitivities in the direction of the directional dominance of these images. The slope of these values is determined as the directional dominance score of the image. To verify this score, the noise reduction performances are examined by using direction invariant TV and DTV regulators of images. As a result, we observe that the directional dominance score and the improvement rate in noise reduction performance are correlated. Therefore, the resulting score can be used to estimate the performance of DTV method.


Total Variation Directed Total Variation Directional Dominance Score 



This study is partially supported by The Scientific and Technological Research Council of Turkey with the grant number 115R285.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Computer and Informatics EngineeringIstanbul Technical UniversityIstanbulTurkey

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