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Optical Memory and Neural Networks

, Volume 25, Issue 3, pp 184–191 | Cite as

Calculation of regularization parameter in the problem of blur removal in digital image

  • A. G. Korobeynikov
  • A. Yu. Grishentsev
  • E. N. Velichko
  • C. C. Korikov
  • S. A. Aleksanin
  • M. E. Fedosovskii
  • I. B. Bondarenko
Article

Abstract

The use of special digital image processing for removal of the blur which results quite often from a mutual relative motion of the optical sensor and object during the exposure is considered. The problem of blur removal from a digital image belongs to the class of incorrect problems, which means that it is impossible to obtain an exact solution resistant to small perturbations in the input data. Therefore, special methods should be invoked. The use of the Tikhonov regularization methods for solving the problem of blur removal from a digital image is demonstrated.

Keywords

blind deconvolution blurred image convolution deblurring image enhancement image processing 

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Copyright information

© Allerton Press, Inc. 2016

Authors and Affiliations

  • A. G. Korobeynikov
    • 1
  • A. Yu. Grishentsev
    • 1
  • E. N. Velichko
    • 1
    • 2
  • C. C. Korikov
    • 2
  • S. A. Aleksanin
    • 1
  • M. E. Fedosovskii
    • 1
  • I. B. Bondarenko
    • 1
  1. 1.Saint Petersburg National Research University of Information Technologies, Mechanics and OpticsSt. PetersburgRussia
  2. 2.Peter the Great Saint Petersburg Polytechnic UniversitySt. PetersburgRussia

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