Proposing Auto-tuning Image Enhancement Method using Stochastic Resonance
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- Kojima Noriko
- Ashikaga University
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- Lamsal Bikash
- KAJIMA Corporation, Technical Research Institute
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- Matsumoto Naofumi
- Ashikaga University
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- Yamashiro Mitsuo
- Ashikaga University
Bibliographic Information
- Other Title
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- 確率共鳴を用いたオートチューニング画像強調法の提案
- 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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Description
<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>
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 138 (11), 1425-1434, 2018-11-01
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390564238038502144
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- NII Article ID
- 40021726779
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 029348114
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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