Title :
Directional statistics for adaptive image filtering
Author :
McLean, G.F. ; Jernigan, M.E.
Author_Institution :
Victoria Univ., BC, Canada
Abstract :
The goal of adaptive image processing is to suppress noise while enhancing structure. This requires some method of discriminating between signal and noise within a local region. Variance estimates, which are popular for such a task, indicate signal activity but do not discriminate signal from noise. Directional variance estimates are experimentally evaluated using synthetic test images
Keywords :
adaptive filters; filtering and prediction theory; picture processing; statistical analysis; adaptive image filtering; adaptive image processing; directional statistics; directional variance estimates; synthetic test images; Adaptive filters; Additive noise; Filtering; Image enhancement; Image processing; Mechanical engineering; Noise figure; Signal processing; Statistics; Testing;
Conference_Titel :
Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-87942-638-1
DOI :
10.1109/PACRIM.1991.160727
