| Presentation | 2012-07-30 Noise reduction for images by ensemble learning Eiji WATANABE, Takashi OZEKI, Takeshi KOHAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This report discusses a restoration method for JPEG images based on ensemble learning algorithm for multiple multi-layered neural networks. When images have edge and non-edge regions, it is difficult for single filter having fixed coefficients to reduce both blocky and mosquito noises adequately. Here, new restoration methods for JPEG images are proposed by introducing multiple muliti-layered neural networks. Each neural network can be adapted for edge, flat, and texture regions in images by ensemble learning. From experimental results, the proposed method can obtain good restoration accuracy compared with conventional filters. Moreover, we have confirmed that the proposed method could automatically assign restoration tasks to each neural network according to the characteristics of each region in given distorted images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | JPEG image / ensemble learning / noise reduction / neural network |
| Paper # | NC2012-16 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2012/7/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Noise reduction for images by ensemble learning |
| Sub Title (in English) | |
| Keyword(1) | JPEG image |
| Keyword(2) | ensemble learning |
| Keyword(3) | noise reduction |
| Keyword(4) | neural network |
| 1st Author's Name | Eiji WATANABE |
| 1st Author's Affiliation | Faculty of Intelligence and Informatics, Konan University() |
| 2nd Author's Name | Takashi OZEKI |
| 2nd Author's Affiliation | Faculty of Engineering, Fukuyama University |
| 3rd Author's Name | Takeshi KOHAMA |
| 3rd Author's Affiliation | School of Biology-Oriented Science and Technology, Kinki University |
| Date | 2012-07-30 |
| Paper # | NC2012-16 |
| Volume (vol) | vol.112 |
| Number (no) | 168 |
| Page | pp.pp.- |
| #Pages | 6 |
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