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Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II

Alvarez, Luis; Lions, Pierre-Louis; Morel, Jean-Michel (1992), Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II, SIAM Journal on Numerical Analysis, 29, 3, p. 845-866. http://dx.doi.org/10.1137/0729052

Type
Article accepté pour publication ou publié
Date
1992
Journal name
SIAM Journal on Numerical Analysis
Volume
29
Number
3
Publisher
SIAM
Pages
845-866
Publication identifier
http://dx.doi.org/10.1137/0729052
Metadata
Show full item record
Author(s)
Alvarez, Luis
Lions, Pierre-Louis
Morel, Jean-Michel
Abstract (EN)
A stable algorithm is proposed for image restoration based on the “mean curvature motion” equation. Existence and uniqueness of the “viscosity” solution of the equation are proved, a $L^\infty $ stable algorithm is given, experimental results are shown, and the subjacent vision model is compared with those introduced recently by several vision researchers. The algorithm presented appears to be the sharpest possible among the multiscale image smoothing methods preserving uniqueness and stability.
Subjects / Keywords
mean curvature motion of level sets; image restoration; viscosity solutions; multiscale vision models

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