HDR video generation based on dynamic mode decomposition and its applications
| Project/Area Number |
18K18073
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 61010:Perceptual information processing-related
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| Research Institution | The University of Kitakyushu (2020-2021)
Kyushu Institute of Technology (2019)
Kagawa University (2018) |
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Principal Investigator |
Matsuoka Ryo 北九州市立大学, 国際環境工学部, 准教授 (40780391)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 高ダイナミックレンジ画像 / スパースコーディング / 画像復元 / 凸最適化 / 動的モード分解 / 動画像復元 |
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| Outline of Final Research Achievements |
When taking a photograph in a high dynamic range (HDR) scene, the accuracy of object recognition is significantly degraded due to under/over-exposed pixels. This can be solved by using an HDR sensor that faithfully preserves the optical information of the scene, but it is very expensive. Therefore, image-blending-based HDR camera technology using a low dynamic range sensor is required. However, existing image blending techniques require huge computational costs and large computational resources, and many challenges remain for practical applications.
In this research project, we proposed an efficient and practical HDR video generation technique. In addition, we developed reconstruction algorithms based on sparse modeling to achieve high-quality HDR video restoration.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究の主要な成果は, 既存の画像統合型HDR動画像生成技術に比べて低計算量でかつ効率的なHDR動画像の復元が可能な手法であるため, 自動運転技術や監視カメラ技術の飛躍的な発展が期待できる. さらに, HDR動画像が重要な役割を果たす産業・サイエンス・工学の諸分野に大きく貢献するものである. また, 計算量の観点から実現が困難であった画期的な動画像処理応用を切り開き, 医療・農業・産業などの広範な分野に大きなインパクトを与えるものであると考えられる.
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Report
(5 results)
Research Products
(27 results)
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[Journal Article] 私のブックマーク：高ダイナミックレンジ画像処理2021
Author(s)
松岡 諒
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Journal Title
Journal of the Japanese Society for Artificial Intelligence
Volume: 36
Issue: 1
Pages: 90-96
DOI
NAID
ISSN
2188-2266, 2435-8614
Year and Date
2021-01-01
Related Report
Open Access
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