Bilateral mesh filtering

Authors:
Guillaume Noel;Karim Djouani;Barend Van Wyk;Yskandar Hamam
Affiliations:
French South African Institute of Technology, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa;French South African Institute of Technology, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa;French South African Institute of Technology, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa;French South African Institute of Technology, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa
Venue:
Pattern Recognition Letters
Year:
2012

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Abstract

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.