2023 Fiscal Year Final Research Report
Vector pixel imaging for high-speed and high-resolution imaging
| Project/Area Number |
22K18803
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 21:Electrical and electronic engineering and related fields
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| Research Institution | Chiba University |
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Principal Investigator |
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| Project Period (FY) |
2022-06-30 – 2024-03-31
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| Keywords | 計測 / 位相回復 / ラインセンサ / 深層学習 |
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| Outline of Final Research Achievements |
In this research project, we developed a vector sensing imaging system that can capture images in a single shot without the need for pattern projection. In this research, a neural network was developed to map one-dimensional measurement data to a correct image. The optical system consists of an imaging object, a diffuser that diffuses the object light, and a line sensor.
It was shown that the amplitude of the object can be inferred from the 1D diffuse measurement data. In the final year, we changed the configuration of the neural network and showed that complex amplitude measurement (simultaneous measurement of amplitude and phase) of an object is possible. In both cases, the object information could be recovered in a single shot.
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| Free Research Field |
計測、3次元計測、顕微鏡、イメージング
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| Academic Significance and Societal Importance of the Research Achievements |
本研究はベクトルピクセルイメージングを開発した．撮像素子には受光素子が並べられたラインセンサを使用する．CCDやCMOSカメラは高解像度撮影を得意とするが，幅広い波長帯や低光量環境下での撮影は苦手とする．シングルピクセルイメージングはその逆の特性となる．提案手法（ベクトルピクセルイメージング）は，大画素数の撮影かつ高速撮影が可能であり，ラインセンサの特性から，幅広い波長帯や低光量環境下での撮影も可能となる．この提案手法は複数回のパターン投影を必要とする．提案手法は，従来のイメージングデバイス（CCDやCMOSカメラ）とシングルピクセルイメージングの両方の利点を有する．
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