DocumentCode
3421163
Title
Directional statistics for adaptive image filtering
Author
McLean, G.F. ; Jernigan, M.E.
Author_Institution
Victoria Univ., BC, Canada
fYear
1991
fDate
9-10 May 1991
Firstpage
250
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-87942-638-1
Type
conf
DOI
10.1109/PACRIM.1991.160727
Filename
160727
Link To Document