Title :
Filtering noisy images using kriging
Author :
Pham, Tuan ; Wagner, Michael
Author_Institution :
Sch. of Comput., Univ. of Canberra, ACT, Australia
Abstract :
A kriging method is presented as a spatial filter for smoothing gray-scale images corrupted by Gaussian white noise. The concepts are based on the analysis of semi-variances, and the linear combination scheme of kriging. Results which are obtained by the kriging filter are smoother and still preserve edges compared with those obtained by the adaptive Wiener filter
Keywords :
Gaussian noise; filters; image enhancement; statistical analysis; white noise; Gaussian white noise; filtering noisy images; image enhancement; kriging filter; kriging method; linear combination scheme; semi-variances; smoothing gray-scale images; spatial filter; Adaptive filters; Digital images; Filtering; Image enhancement; Nonlinear filters; Pixel; Smoothing methods; Spatial filters; White noise; Wiener filter;
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
DOI :
10.1109/ISSPA.1999.818203
