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Bilateral mesh filtering

delete2012-07-01
delete9
PRE
AI
G
Guillaume Noel *
K
Karim Djouani
B
Barend Jacobus van Wyk
Y
Yskandar Hamam
DOI:10.1016/j.patrec.2012.02.008delete
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Abstract

Abstract

En 中文
The paper presents a new graph-based implementation of bilateral filtering. Based on the Laplacian mesh smoothing framework, the proposed filter mimics the behaviour of the classical mesh filter while retaining some of the interesting properties of mesh smoothing. The comparison between the filters is twofold. First of all, the two filters are benchmarked according to their ability to denoise complex synthetic image transitions. The respective performance of the filters are then assessed in a multiresolution denoising scheme for grayscale images, combining wavelet decomposition, shrinkage and bilateral filtering. The results obtained are encouraging and shows that the BMF is a viable alternative to classical bilateral filtering. (C) 2012 Elsevier B.V. All rights reserved.
Keywords:
Bilateral filter
Laplacian smoothing
Graph-based image processing
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Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.9K
Citations:
1.6W

Organization

T
Tshwane University of Technology
Scholars:
2.2K
Papers: 1.7K
Citations: 2.4K