Now showing items 1-5 of 5

    • Contrast enhancement of microscopy images using image phase information 

      Cakir, S.; Kahraman, D. C.; Cetin Atalay, R.; Cetin, A. E. (Institute of Electrical and Electronics Engineers, 2018)
      Contrast enhancement is an important preprocessing step for the analysis of microscopy images. The main aim of contrast enhancement techniques is to increase the visibility of the cell structures and organelles by modifying ...
    • Contrast enhancement using phase transition information and total variation 

      Cakir, S.; Cetin, A. E. (Institute of Electrical and Electronics Engineers, 2018)
      Contrast enhancement is an important preprocessing step for the analysis of images. The main aim of contrast enhancement techniques is to increase the visibility of the objects by modifying the spatial characteristics of ...
    • Extensions to common laplace and fourier transforms 

      Onural, L.; Erden, M. F.; Ozaktas, H. M. (Institute of Electrical and Electronics Engineers, 1997-11)
      The extended versions of common Laplace and Fourier transforms are given. This is achieved by defining a new function fe(p), p 2 C related to the function to be transformed f(t), t 2 R. Then fe(p) is transformed by an ...
    • Image super-resolution using deep feedforward neural networks in spectral domain 

      Aydın, Onur (Bilkent University, 2018-03)
      With recent advances in deep learning area, learning machinery and mainstream approaches in computer vision research have changed dramatically from hardcoded features combined with classi ers to end-to-end trained deep ...
    • On the Lévy-Raikov-Marcinkiewicz theorem 

      Ostrovskii I.; Ulanovskii, A. (2004)
      Let μ be a finite non-negative Borel measure. The classical Lévy-Raikov-Marcinkiewicz theorem states that if its Fourier transform μ̂ can be analytically continued to some complex half-neighborhood of the origin containing ...