Nonlinear image filtering with edge and corner enhancement

The authors describe a model of nonlinear image filtering for noise reduction and edge enhancement using anisotropic diffusion. The method is designed to enhance not only edges, but corners and T junctions as well. The method roughly corresponds to a nonlinear diffusion process with backward heat fl...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 1992-08, Vol.14 (8), p.826-833
Main Authors: Nitzberg, M., Shiota, T.
Format: Article
Language:English
Subjects:
Adaptive filters
Anisotropic magnetoresistance
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Diffusion processes
Electric shock
Exact sciences and technology
Filtering
Image edge detection
Nearest neighbor searches
Noise reduction
Nonlinear equations
Pattern recognition. Digital image processing. Computational geometry
Smoothing methods
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Summary:The authors describe a model of nonlinear image filtering for noise reduction and edge enhancement using anisotropic diffusion. The method is designed to enhance not only edges, but corners and T junctions as well. The method roughly corresponds to a nonlinear diffusion process with backward heat flow across the strong edges. Such a process is ill posed, making the results depend strongly on how the algorithm differs from the diffusion process. Two ways of modifying the equations using simulations on a variable grid are studied.< >
ISSN:0162-8828
1939-3539
DOI:10.1109/34.149593