Radiotekhnika
Publishing house Radiotekhnika

"Publishing house Radiotekhnika":
scientific and technical literature.
Books and journals of publishing houses: IPRZHR, RS-PRESS, SCIENCE-PRESS


Тел.: +7 (495) 625-9241

 

Intellectual image noise reduction algorithm

Keywords:

S.N. Zagoruyko, P.V. Skribtsov


New intellectual image noise reduction algorithm based on Markov networks is announced. For states generation linear and neural models are used. For state probability estimation binomial distribution is used. Announced algorithm is able to perform image noise reduction preserving details.
References:

  1. Freeman W. T., Jones T. R., and Pasztor E. C. Example-based super-resolution. IEEE Computer Graphics and Applications. 2002. V. 22. № 2. R. 56-65.
  2. Celis M., Dennis J. E., and Tapia R. A. A trust region strategy for nonlinear equality constrained optimization. Numerical Optimization, 1984. (P. Boggs, R. Byrd and R. Schnabel, eds), Philadelphia: SIAM. 1985. R. 71–82.

© Издательство «РАДИОТЕХНИКА», 2004-2017            Тел.: (495) 625-9241                   Designed by [SWAP]Studio