Presentation | 1998/12/11 Design of Data-Dependent Weighted Mean Filters Using Counter Propagation Networks Mitsuji MUNEYASU, Yuuichi MIYAKE, Takao HINAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a design method for data-dependent weighted mean filters by using counter propagation networks. The proposed filter consists of a weight controller and a weighted mean filter. This controller based on counter propagtion networks classifies an input vector into some cluster according to its pattern and selects the weights of the filter corresponding to its cluster. The proposed filter can reduce white Gaussian noise, effectively and has the edge-preserving property. A simulation example is given to illustrate the utility of the proposed technique. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | noise reduction / neural network / nonlinear filter / weighted mean filter / white Gaussian noise |
Paper # | DSP98-141 |
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Committee | DSP |
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Conference Date | 1998/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Digital Signal Processing (DSP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Design of Data-Dependent Weighted Mean Filters Using Counter Propagation Networks |
Sub Title (in English) | |
Keyword(1) | noise reduction |
Keyword(2) | neural network |
Keyword(3) | nonlinear filter |
Keyword(4) | weighted mean filter |
Keyword(5) | white Gaussian noise |
1st Author's Name | Mitsuji MUNEYASU |
1st Author's Affiliation | Faculty of Engineering, Hiroshima University() |
2nd Author's Name | Yuuichi MIYAKE |
2nd Author's Affiliation | Faculty of Engineering, Hiroshima University |
3rd Author's Name | Takao HINAMOTO |
3rd Author's Affiliation | Faculty of Engineering, Hiroshima University |
Date | 1998/12/11 |
Paper # | DSP98-141 |
Volume (vol) | vol.98 |
Number (no) | 451 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |