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- KURIHARA Kazuki
- Graduate School of Engineering Science, Osaka University
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- YOSHIDA Hiromi
- Graduate School of Engineering Science, Osaka University
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- IIGUNI Yoji
- Graduate School of Engineering Science, Osaka University
Bibliographic Information
- Other Title
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- Variational Retinex Modelと活性化マップを用いた夜間低照度画像の鮮明化
- Variational Retinex Model ト カッセイカ マップ オ モチイタ ヤカン テイショウド ガゾウ ノ センメイカ
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Abstract
The illumination enhancement is important for the computer vision applications using outdoor. Although many studies have been reported to solve this problem, they contain various problems. Therefore, we used a method combining variational retinex model and bright channel prior to suppress contrast over-emphasis and noise. We also reduced the computational cost by using FFT as a method to solve the quadratic optimization problem. Furthermore, in order to suppress blur artifacts, we used activation map changed to a form applicable to night images. In our experiments, we confirmed the effectiveness of our method, and improvement of detection accuracy by object detection algorithm.
Journal
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- Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
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Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan 18.01 (0), 21-24, 2018
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390003825203768320
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- NII Article ID
- 130007884231
- 40021659805
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- NII Book ID
- AN1059086X
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- ISSN
- 13426893
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- NDL BIB ID
- 029209832
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed