Proposing Auto-tuning Image Enhancement Method using Stochastic Resonance-Reference-Cited by-同舟云学术

Proposing Auto-tuning Image Enhancement Method using Stochastic Resonance

Published:2018-11-01 Issue:11 Volume:138 Page:1425-1434
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Kojima Noriko¹,Lamsal Bikash²,Matsumoto Naofumi¹,Yamashiro Mitsuo¹

Affiliation:

1. Ashikaga University

2. KAJIMA Corporation, Technical Research Institute

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/138/11/138_1425/_pdf

Reference12 articles.

1. (1) B. Lamsal, N. Kojima, and N. Matsumoto : “Impact of the stochastic resonance on dark and illumination variant images for face detection”, Journal of the Institute of Industrial Applications Engineers, Vol. 3, No. 4, pp. 167-173 (2015)

2. (2) N. Kojima, B. Lamsal, and N. Matsumoto : “An adaptive tuning stochastic resonance approach for image enhancement on illumination variant images”, Journal of the Institute of Industrial Applications Engineers, Vol. 5, No. 1, pp. 1-8 (2017)

3. (3) N. Kojima, N. Matsumoto, and M. Yamashiro : “Image enhancement under severe lighting conditions using stochastic resonance”, LIFE2017 (2017) (in Japanese)

4. (4) E. Simonotto, M. Riani, S. Charles, M. Roberts, J. Twitty, and F. Moss : “Visual perception of stochastic resonance”, Phys. Rev. Lett., Vol. 78, No. 6, pp. 1186-1189 (1997)

5. (5) R. Chouhan, R. K. Iha, and P. K. Biswas : “Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance”, ICVGIP'12, Mumbai, India (2012)

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