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Proceedings Paper

A Relaxation Based Adaptive Filtering Algorithm
Author(s): P. Wambacq; A. Oosterlinck; H. Van den Berghe
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Paper Abstract

This paper describes an adaptive filtering algorithm that uses edge information, contained in the original image, to control a space varying convolution type filter. This adaptive filtering approach is more powerful than the traditional filtering methods because it uses some kind of knowledge about the image, whereas simple linear filtering for instance, does not use any knowledge about the image. In this case, the knowledge that is used is the location, direction and intensity of the edges. The edge information is enhanced with a relaxation process before it is used to control a filter.

Paper Details

Date Published: 4 December 1984
PDF: 5 pages
Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); doi: 10.1117/12.944873
Show Author Affiliations
P. Wambacq, Catholic University of Leuven (Belgium)
A. Oosterlinck, Catholic University of Leuven (Belgium)
H. Van den Berghe, Catholic University of Leuven (Belgium)

Published in SPIE Proceedings Vol. 0504:
Applications of Digital Image Processing VII
Andrew G. Tescher, Editor(s)

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