In this study, we present a 2D particle filter realization on images modelled by MRFs. The essential feature of the approach is the discretization of the posterior density and the evaluation of the MSE estimates of the image using the discretized posterior. The calculation is completely numerical rather than analytical. For simplicity, we adapted a linear image formation model and we studied the noise filtering problem.

2D Particle Filter Realization in MRF Modelled Images = MRF ile Modellenmis Imgelerde 2B Parcacik Suzgeci Gerceklemesi2D

Kuruoglu E E;
2008

Abstract

In this study, we present a 2D particle filter realization on images modelled by MRFs. The essential feature of the approach is the discretization of the posterior density and the evaluation of the MSE estimates of the image using the discretized posterior. The calculation is completely numerical rather than analytical. For simplicity, we adapted a linear image formation model and we studied the noise filtering problem.
2008
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
IEEE 16th Signal Processing and Communication Applications Conference
4
http://ieeexplore.ieee.org/document/4632663/
IEEE
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
April 20-22 2008
Didim, Turkey
Image Denoising
Link evento: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4632536&isYear=2008
3
restricted
Kayabol, K; E E, Kuruoglu; Sankur, B
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/58468
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