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» Modeling non-gaussian noise for robust image analysis
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ICPR
2008
IEEE
14 years 8 months ago
Impulse noise removal by spectral clustering and regularization on graphs
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoata...
ISCAS
2002
IEEE
190views Hardware» more  ISCAS 2002»
14 years 15 days ago
Analysis and improvement of correlation-based watermarking methods for digital images
This paper aims to design robust correlation-based watermarking methods for images. We rst present a model of watermark embedding and extracting processes and carry out their ana...
Akio Miyazaki, Akihiro Okamoto
IPMI
2005
Springer
14 years 1 months ago
Robust Active Appearance Model Matching
A novel robust active appearance model (AAM) matching algorithm is presented. The method consists of two main stages. First, initial residuals are clustered by a non parametric mea...
Reinhard Beichel, Horst Bischof, Franz Leberl, Mil...
ICIAP
2007
ACM
14 years 1 months ago
Robust Face Matching Under Large Occlusions
Outliers due to occlusions and contrast and offset signal deviations notably hinder recognition and retrieval of facial images. We propose a new maximum likelihood matching score ...
Georgy L. Gimel'farb, Patrice Delmas, John Morris,...
ICIP
2003
IEEE
14 years 9 months ago
Estimation of cardiac phases in echographic images using multiple models
This paper presents an algorithm for tracking the left ventricle in echocardiographic sequences, using multiple models. The use of multiple dynamic models is appropriate since the...
Jacinto C. Nascimento, Jorge S. Marques, Joã...