Single-shot compact gigapixel camera with vHOE encoder

2021 Fiscal Year Final Research Report

• Project/Area Number: 18H03257
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 61010:Perceptual information processing-related
• Research Institution: Osaka University (2020-2021); Tokyo Institute of Technology (2018-2019)
• Principal Investigator: Nakamura Tomoya 大阪大学, 産業科学研究所, 准教授 (70756709)
• Co-Investigator(Kenkyū-buntansha): 遠藤 優 金沢大学, 機械工学系, 助教 (50803293)
• Project Period (FY): 2018-04-01 – 2022-03-31
• Keywords: レンズレスカメラ / 光符号化 / 圧縮センシング

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.

Free Research Field

情報光学

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。