Using an adaptive neuro-fuzzy inference system-based interpolant for impulsive noise suppression from highly distorted images


Besdok E. , Civicioglu P., Alci M.

FUZZY SETS AND SYSTEMS, cilt.150, ss.525-543, 2005 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 150 Konu: 3
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1016/j.fss.2004.06.018
  • Dergi Adı: FUZZY SETS AND SYSTEMS
  • Sayfa Sayıları: ss.525-543

Özet

A new impulsive noise (IN) suppression filter, entitled Adaptive neuro-fuzzy inference system (ANFIS)-based impulsive noise suppression Filter, which shows a high performance at the restoration of images distorted by IN, is proposed in this paper. The extensive simulation results show that the proposed filter achieves a superior performance to the other filters mentioned in this paper in the cases of being effective in noise suppression and detail preservation, especially when the noise density is very high. (C) 2004 Elsevier B.V. All rights reserved.