DocumentCode
1734897
Title
Connected filters for noise removal
Author
Lonnestad, T.
Author_Institution
Dept. of Inf., Oslo Univ.
fYear
1988
Firstpage
848
Abstract
A class of filters for edge-preserving noise removal is presented. The basic idea is that to retain connectedness in the filter, the new pixel value is calculated from the values in a local, connected area. The method described is related to the well-known KNN (k -nearest neighbors) method. The filter is shown to behave better than the KNN filter in most situations. The filter is conceptually very simple, and thus simple to use. Its computing efficiency is comparable to that of the KNN filter
Keywords
filtering and prediction theory; pattern recognition; KNN filter; connected filters; connectedness; edge-preserving noise removal; k-nearest neighbors; pattern recognition; Adaptive filters; Cleaning; Filtering; Image generation; Image segmentation; Informatics; Noise level; Smoothing methods; Test pattern generators; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28378
Filename
28378
Link To Document