Now showing items 1-5 of 5

    • A compressed sensing based approach on discrete algebraic reconstruction technique 

      Demircan Türeyen, Ezgi; Kamaşak, Mustafa Erşel (IEEE, 345 E 47th St, New York, Ny 10017 USA, 2015)
      Discrete tomography (DT) techniques are capable of computing better results, even using less number of projections than the continuous tomography techniques. Discrete Algebraic Reconstruction Technique (DART) is an iterative ...
    • A discretized tomographic image reconstruction based upon total variation regularization 

      Demircan Türeyen, Ezgi; Kamasak, Mustafa E. (Elsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1Gb, Oxon, England, 2017-09)
      Tomographic image reconstruction problem has an ill-posed nature like many other linear inverse problems in the image processing domain. Discrete tomography (DT) techniques are developed to cope with this drawback by ...
    • An improved TvMin plus DART algorithm to reconstruct multilabel images 

      Demircan Türeyen, Ezgi; Kamaşak, Mustafa Erşel (IEEE, 345 E 47th St, New York, Ny 10017 USA, 2015)
      From the algebraic point of view, image reconstruction is an under-determined problem, due to the fact that the projection measurements are a lot fewer than the unknown pixels. Discrete algebraic reconstruction technique ...
    • Directional total variation based image deconvolution with unknown boundaries 

      Demircan Türeyen, Ezgi; Kamaşak, Mustafa Erşel (Springer International Publishing Ag, Gewerbestrasse 11, Cham, Ch-6330, Switzerland, 2017)
      Like many other imaging inverse problems, image deconvolution suffers from ill-posedness and needs for an adequate regularization. Total variation (TV) is an effective regularizer; hence, frequently used in such problems. ...
    • Image Reconstruction from Sparse Samples Using Directional Total Variation Minimization 

      Demircan Türeyen, Ezgi; Kamasak, Mustafa E.; Bayram, İlker (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2016)
      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 ...