Presentation 2010-09-03
Fast Bilateral Gauss Transform
Shin YOSHIZAWA, Alexander BELYAEV, Hideo YOKOTA,
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Abstract(in English) Rapid advances in data acquisition technology increase importance of bio-medical imaging and processing. Edge-preserving filters such as the bilateral filters are useful to improve quality of noisy bio-medical images, although the bilateral filters are computationally expensive. In our previous work, we proposed a novel bilateral filtering algorithm by using the fast Gauss transform. Our algorithm approximates the bilateral filter quickly and accurately on high dynamic range multidimensional images. We achieved the approximations with linear computational complexity with respect to the number of image elements, where the exact filter requires quadratic computational complexity. In this report, we introduce the filtering results of bio-medical images obtained by CT and confocal laser scanning microscopy. We also demonstrate the theoretical and numerical comparisons with conventional fast bilateral filters.
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Keyword(in English) Bilateral Filter / Fast Gauss Transform(FGT) / Multidimensional Image Processing / High Dynamic Range(HDR)
Paper # MI2010-50
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Committee MI
Conference Date 2010/8/27(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fast Bilateral Gauss Transform
Sub Title (in English)
Keyword(1) Bilateral Filter
Keyword(2) Fast Gauss Transform(FGT)
Keyword(3) Multidimensional Image Processing
Keyword(4) High Dynamic Range(HDR)
1st Author's Name Shin YOSHIZAWA
1st Author's Affiliation RIKEN()
2nd Author's Name Alexander BELYAEV
2nd Author's Affiliation Heriot-Watt University
3rd Author's Name Hideo YOKOTA
3rd Author's Affiliation RIKEN
Date 2010-09-03
Paper # MI2010-50
Volume (vol) vol.110
Number (no) 195
Page pp.pp.-
#Pages 4
Date of Issue