Title :
Fuzzy selection filters for image restoration with neural learning
Author :
Chen, Rong-Chung ; Yu, Pao-Ta
Author_Institution :
Dept. of Inf. Manage., Chaiyang Univ. of Technol., Wufeng, Taiwan
fDate :
5/1/1999 12:00:00 AM
Abstract :
A novel class of nonlinear filters, called rank conditioned fuzzy selection (RCFS) filters, is proposed to improve the filtering capability of rank conditioned rank selection filters. In contrast to the selection filters, the output of RCFS filters is obtained from the center gravity of a selected fuzzy set of the observation samples
Keywords :
fuzzy neural nets; fuzzy set theory; image restoration; image sampling; learning (artificial intelligence); nonlinear filters; center gravity; image restoration; neural learning; nonlinear filters; observation samples; rank conditioned fuzzy selection filters; Councils; Fuzzy sets; Gravity; Image processing; Image restoration; Information filtering; Information filters; Information management; Nonlinear filters; Signal restoration;
Journal_Title :
Signal Processing, IEEE Transactions on
