Presentation 2014-03-07
Trilateral filter on graph spectral domain
Masaki ONUKI, Yuichi TANAKA,
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Abstract(in English) This paper presents the trilateral filter (TF) in the perspective of graph signal processing. The TF is a single-pass nonlinear filter for edge-preserving smoothing. To smooth an image, it does not require many iterations compared to conventional smoothing methods, e.g., the bilateral filter. Additionally, one parameter is only required for filtering. Since the TF coefficients depend on original image data, it is not possible to provide a frequency domain representation using regular signal processing. To overcome this problem, we firstly show the TF as a vertex domain transform on a graph and then define it on graph spectral domain. In the experimental results, the proposed method presents better denoising performances than conventional methods.
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Keyword(in English) Trilateral filter / bilateral filter / graph signal processing / spectral graph theory / denoising
Paper # CAS2013-113,SIP2013-159,CS2013-126
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Committee CS
Conference Date 2014/2/27(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Trilateral filter on graph spectral domain
Sub Title (in English)
Keyword(1) Trilateral filter
Keyword(2) bilateral filter
Keyword(3) graph signal processing
Keyword(4) spectral graph theory
Keyword(5) denoising
1st Author's Name Masaki ONUKI
1st Author's Affiliation Graduate School of BASE, Tokyo University of Agriculture and Technology()
2nd Author's Name Yuichi TANAKA
2nd Author's Affiliation Graduate School of BASE, Tokyo University of Agriculture and Technology
Date 2014-03-07
Paper # CAS2013-113,SIP2013-159,CS2013-126
Volume (vol) vol.113
Number (no) 465
Page pp.pp.-
#Pages 6
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