Using an adaptive neuro-fuzzy inference system-based interpolant for impulsive noise suppression from highly distorted images
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.
impulsive noise chi-square goodness-of-fit test dsf interpolant anfis