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Proceedings Paper

Image restoration involving connectedness
Author(s): Simon Masnou; Jean-Michel Morel
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Paper Abstract

Two local adaptive nonlinear filters for image denoising are described and compared to other methods. The first one is a median filter computed over a connected neighborhood that fits the local conformation of level lines. The second one deals with the size of grains in image. Both filters depend on a single parameter, the area A, are morphological more than other classic morphological filters to denoise while preserving image structures. They are particularly designed for automation.

Paper Details

Date Published: 1 February 1998
PDF: 12 pages
Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, (1 February 1998); doi: 10.1117/12.301389
Show Author Affiliations
Simon Masnou, Univ. de Parix IX--Dauphine (France)
Jean-Michel Morel, Univ. de Paris IX--Dauphine (France)


Published in SPIE Proceedings Vol. 3346:
Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences
Emanuel Wenger; Leonid I. Dimitrov, Editor(s)

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