Title :
Fuzzy kriging filter for image restoration
Author :
Pham, T.D. ; Wagner, M.
Author_Institution :
Sch. of Comput., Canberra Univ., ACT, Australia
Abstract :
Kriging and fuzzy sets are combined as a spatial filter for smoothing gray-scale images degraded by Gaussian white noise. Application of fuzzy sets allows a gradual transition between two boundaries of semi-variance levels as a criterion for smoothing the pixel values. Results which are obtained by the fuzzy kriging filter are smoother and still preserved edges compared with those by the adaptive Wiener filter
Keywords :
fuzzy set theory; image restoration; spatial filters; statistical analysis; white noise; Gaussian white noise; adaptive Wiener filter; fuzzy kriging filter; fuzzy sets; gray-scale image smoothing; image restoration; pixel values; preserved edges; semi-variance levels; spatial filter; Adaptive filters; Australia; Filtering; Fuzzy sets; Image restoration; Nonlinear filters; Pixel; Smoothing methods; Spatial filters; Wiener filter;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820191
