Unrestricted multivariate medians for adaptive filtering of color images

Reduction of impulse noise in color images is a fundamental task in the image processing field. A number of approaches have been proposed to solve this problem in literature, and many of them rely on some multivariate median computed on a relevant image window. However, little attention has been pai...

Descripción completa

Detalles Bibliográficos
Autores principales: López Rubio, Ezequiel, Florentín nuñez, María Nieves
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2011
Materias:
Ciencias Informáticas
Edge and feature detection
adaptive filtering; multivariate median; impulse noise; edge detection
Image Representation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/18700
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-18700
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Edge and feature detection
adaptive filtering; multivariate median; impulse noise; edge detection
Image Representation
spellingShingle Ciencias Informáticas
Edge and feature detection
adaptive filtering; multivariate median; impulse noise; edge detection
Image Representation
López Rubio, Ezequiel
Florentín nuñez, María Nieves
Unrestricted multivariate medians for adaptive filtering of color images
topic_facet Ciencias Informáticas
Edge and feature detection
adaptive filtering; multivariate median; impulse noise; edge detection
Image Representation
description Reduction of impulse noise in color images is a fundamental task in the image processing field. A number of approaches have been proposed to solve this problem in literature, and many of them rely on some multivariate median computed on a relevant image window. However, little attention has been paid to the comparative assessment of the distinct medians that can be used for this purpose. In this paper we carry out such a study, and its conclusions lead us to design a new image denoising procedure. Quantitative and qualitative results are shown, which demonstrate the advantages of our method in terms of noise reduction, detail preservation and stability with respect to a selection of well-known proposals.
format Objeto de conferencia
Objeto de conferencia
author López Rubio, Ezequiel
Florentín nuñez, María Nieves
author_facet López Rubio, Ezequiel
Florentín nuñez, María Nieves
author_sort López Rubio, Ezequiel
title Unrestricted multivariate medians for adaptive filtering of color images
title_short Unrestricted multivariate medians for adaptive filtering of color images
title_full Unrestricted multivariate medians for adaptive filtering of color images
title_fullStr Unrestricted multivariate medians for adaptive filtering of color images
title_full_unstemmed Unrestricted multivariate medians for adaptive filtering of color images
title_sort unrestricted multivariate medians for adaptive filtering of color images
publishDate 2011
url http://sedici.unlp.edu.ar/handle/10915/18700
work_keys_str_mv AT lopezrubioezequiel unrestrictedmultivariatemediansforadaptivefilteringofcolorimages
AT florentinnunezmarianieves unrestrictedmultivariatemediansforadaptivefilteringofcolorimages
bdutipo_str Repositorios
_version_ 1764820463195783168

Ejemplares similares