Title
Image enhancement using non-linear diffusion
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
Year
DOI
Venue
1993
10.1109/CVPR.1993.341030
New York, NY
Keywords
Field
DocType
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
Non linear diffusion,Computer vision,Transputer network,Noise suppression,Computer science,Nonlinear diffusion,Artificial intelligence,Filtering theory,Edge strength,Thermodynamic equilibrium,Edge-preserving smoothing
Conference
Volume
Issue
ISSN
1993
1
1063-6919
Citations 
PageRank 
References 
1
0.91
2
Authors
6
Name
Order
Citations
PageRank
Marc Proesmans127734.37
Eric J. Pauwels232746.54
Luc Van Gool3275661819.51
Theo Moons4683118.99
André Oosterlinck52718.19
Van Gool, L.J.610.91