Now showing items 1-3 of 3

    • 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 ...
    • 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. ...