書誌事項
- タイトル別名
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- Proposing Auto-tuning Image Enhancement Method using Stochastic Resonance
- カクリツ キョウメイ オ モチイタ オートチューニング ガゾウ キョウチョウホウ ノ テイアン
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説明
<p>This paper is associated with an auto-tuning stochastic resonance approach for image enhancement on illumination variant images. This new process is being developed based on our previous works related to image enhancement by using stochastic resonance (SR) by using the manual tuning process. The process was performed by adding the random noise and threshold 0 in an image. The process works properly in the dark and very low contrast images as well as bright images based and mixed illumination variant images. This system works on the images with the mixture of darkness and brightness. We also present the idea of auto-tuning of the iteration with random noise and threshold value 0 by using the process related to the histogram calculation or mean and median. We performed various experiments on various types of images including human faces under different conditions and confirmed the effectiveness of our image enhancement technique.</p>
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 138 (11), 1425-1434, 2018-11-01
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390564238038502144
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- NII論文ID
- 40021726779
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 029348114
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可