DocumentCode
2238877
Title
Image enhancement using non-linear diffusion
Author
Proesmans, M. ; Pauwels, E.J. ; Gool, L. J Van ; Moons, T. ; Oosterlinck, A.
Author_Institution
Electr. Eng., Katholieke Univ., Leuven, Belgium
fYear
1993
fDate
15-17 Jun 1993
Firstpage
680
Lastpage
681
Abstract
The potential of coupled nonlinear diffusion processes to provide an efficient and implementable mechanism capable of edge preserving smoothing and noise suppression is investigated. The basic idea is that several maps undergo coupled development towards an equilibrium state. These maps could contain intensity, local edge strength, range, or another quantity. All these maps, including the edge map, contain continuous rather than all-or-nothing information, following a strategy of least commitment. Each of the approaches is developed and tested on a parallel transputer network
Keywords
diffusion; filtering theory; image enhancement; edge map; edge preserving smoothing; equilibrium state; image enhancement; image processing; local edge strength; noise suppression; nonlinear diffusion processes; parallel transputer network; Anisotropic magnetoresistance; Convergence; Couplings; Diffusion processes; Equations; Image enhancement; Moon; Noise figure; Noise generators; Smoothing methods; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.341030
Filename
341030
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