Title :
Nonlinear noise cancellation for image with adaptive neuro-fuzzy inference systems
Author :
Qin, H. ; Yang, S.X.
Author_Institution :
Sch. of Eng., Univ. of Guelph, Ont., Canada
fDate :
4/14/2005 12:00:00 AM
Abstract :
The adaptive neural-fuzzy inference system (ANFIS) algorithm is proposed for nonlinear noise cancellation of images. The quality in terms of mean square error of image restoration using the proposed ANFIS is over 65 times better for Gaussian noise and 500 times better for salt and pepper noise than using conventional filtering systems.
Keywords :
Gaussian noise; adaptive systems; fuzzy reasoning; image denoising; image restoration; neural nets; ANFIS; Gaussian noise; adaptive neural-fuzzy inference system; image noise cancellation; image restoration; mean square error; membership functions; nonlinear noise cancellation; salt and pepper noise;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20057770
