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4 December 1984 A Relaxation Based Adaptive Filtering Algorithm
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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.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. Wambacq, A. Oosterlinck, and H. Van den Berghe "A Relaxation Based Adaptive Filtering Algorithm", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944873
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