| Project/Area Number |
18H03257
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 61010:Perceptual information processing-related
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| Research Institution | Osaka University (2020-2021)
Tokyo Institute of Technology (2018-2019) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
遠藤 優 金沢大学, 機械工学系, 助教 (50803293)
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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 |
¥17,680,000 (Direct Cost: ¥13,600,000、Indirect Cost: ¥4,080,000)
Fiscal Year 2021: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2020: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2019: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2018: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000)
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| Keywords | レンズレスカメラ / 光符号化 / 圧縮センシング / 符号化撮像 / 超解像 / コンピュテーショナルイメージング / ホログラム光学素子 / 画像再構成 |
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| Outline of Final Research Achievements |
We developed a compact, high-speed, wide-field-of-view, high-resolution imaging technique based on optical encoding. We initially proposed a multi-view multiplexed measurement model using vHOE encoding, but during the research period, we also included other encoding schemes and finally developed a model in which multi-image information is not multiplexed, but rather sparsely separated and measured, and the dense information is reconstructed using a compressed sensing algorithm. In the process, specific problems such as distance dependence of imaging, field-of-view limitation, and resolution limitation due to diffraction were addressed, while improvements in sparse modeling methods and multistage optics were also investigated to improve the performance of the compressed sensing method.
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| Academic Significance and Societal Importance of the Research Achievements |
広視野・高解像度・小型符号化イメージング技術について、新規手法を開拓するとともに実環境下で現れる問題の解決を行った。研究成果は、配管検査や医療用カメラなど、狭所空間で高情報量な計測が必要となる映像システムの実現において、基礎技術として役立つと考えられる。
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