• Image deblurring in the presen...

Treffer: Image deblurring in the presence of salt-and-pepper noise

Title:
Image deblurring in the presence of salt-and-pepper noise
Authors:
BAR, Leah, SOCHEN, Nir, KIRYATI, Nahum
Source:
Scale space and PDE methods in computer vision (Hofgeismar, 7-9 April 2005)Lecture notes in computer science. :107-118
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Bruit gaussien, Gaussian noise, Ruido gaussiano, Calcul variationnel, Variational calculus, Cálculo de variaciones, Déconvolution, Deconvolution, Desconvolución, Fidélité, Fidelity, Fidelidad, Filtrage, Filtering, Filtrado, Image floue, Blurred image, Imagen borrosa, Modélisation, Modeling, Modelización, Médiane, Median, Mediana, Observation aberrante, Outlier, Observación aberrante, Rapport signal bruit, Signal to noise ratio, Relación señal ruido, Robustesse, Robustness, Robustez, Réduction bruit, Noise reduction, Reducción ruido, Traitement image, Image processing, Procesamiento imagen, Vision ordinateur, Computer vision, Visión ordenador
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Electrical Engineering, Tel Aviv University, Tel Aviv 69978, Israel
Dept. of Applied Mathematics, Tel Aviv University, Tel Aviv 69978, Israel
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16894621
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16894621
Database:
PASCAL Archive

Weitere Informationen

The problem of image deblurring in the presence of salt and pepper noise is considered. Standard image deconvolution algorithms, that are designed for Gaussian noise, do not perform well in this case. Median type filtering is a common method for salt and pepper noise removal. Deblurring an image that has been preprocessed by median-type filtering is however difficult, due to the amplification (in the deconvolution stage) of median-induced distortion. A unified variational approach to salt and pepper noise removal and image deblurring is presented. An objective functional that represents the goals of deblurring, noise-robustness and compliance with the piecewise-smooth image model is formulated. A modified L1 data fidelity term integrates deblurring with robustness to outliers. Elements from the Mumford-Shah functional, that favor piecewise smooth images with simple edge-sets, are used for regularization. Promising experimental results are shown for several blur models.