Noise Removal for Degraded Images with Impulse Noise Using Median Filters and Neural Filters
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- Yamashita Noritaka
- Graduate School of Science and Technology, Chiba University
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- Lu Jianming
- Graduate School of Science and Technology, Chiba University
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- Sekiya Hiroo
- Graduate School of Science and Technology, Chiba University
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- Yahagi Takashi
- Graduate School of Science and Technology, Chiba University
Bibliographic Information
- Other Title
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- メジアンフィルタとニューラルフィルタによるインパルス雑音を含む劣化画像の雑音除去
- メジアンフィルタ ト ニューラルフィルタ ニ ヨル インパルス ザツオン オ フクム レッカ ガゾウ ノ ザツオン ジョキョ
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Abstract
In signal processing and image processing, many filters have been studied for smoothing images corrupted by noises. In particular, some nonlinear filters have been investigated. In nonlinear filtering, a neural filter was proposed for reducing Gaussian noise. However, a neural filter was not applied to images with impulse noise. In this paper, we propose a filter for removing impulse noise, Gaussian noise and mixed impulse and Gaussian noises using median filters and neural filters. Carrying out the simulation, we illustrate the performance of the proposed filter.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 123 (6), 1072-1079, 2003
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679582457728
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- NII Article ID
- 130000089794
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 6544703
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed
