Adaptive nonlocal filtering: a fast alternative to anisotropicdiffusion for image enhancement
Fischl, B.
Schwartz, E.L.
NMR Center, Massachusetts Gen. Hosp., Charlestown, MA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jan 1999
Volume: 21,
Issue: 1
On page(s): 42-48
ISSN: 0162-8828
References Cited: 35
CODEN: ITPIDJ
INSPEC Accession Number: 6171836
Digital Object Identifier: 10.1109/34.745732
Current Version Published: 2002-08-06
Abstract
Nonlinear anisotropic diffusion algorithms provide significant
improvement in image enhancement as compared to linear filters. However,
the excessive computational cost of solving nonlinear PDEs precludes
their use in real-time vision applications. We show that two orders of
magnitude speed improvement is provided by a new image filtering
paradigm in which an adaptively determined vector field specifies
nonlocal application points for an image filter
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