内容紹介

Various optical phenomena are indicate the physical properties of an object. Hence, analytical methods that are based on observing the temporal and spectral responses of light are widely employed in the field of science. In general, a method for observing the optical response involves the usage of image sensors. However, the image sensors are near the limit of improvement due to the physical limitaiton. In this study, we propose a generalized super-resolution method for multimodal optical measurement systems. The proposed method was designed by generalizing the underlying principle of image super-resolution. We implemented the measurement systems with respect to the temporal and spectral axes for demonstrating the effectiveness of the proposed method. We designed a sub-sampling method to enable indirect gate shifting in the temporal axis and implemented the same for a time-of-flight camera. The obtained results indicate that we can achieve a super-resolution of 0.25 ns from the 20 ns sampling width in real environments. With respect to the spectral axis, we tilted the area sensor for realizing accurate sub-pixel shifting and for recovering a high-resolution spectrum by employing interpolated spectrally-varying kernels. Based on experimental validation, it is found that the proposed method can achieve a high spectral resolution of 12.9x super-resolution in the 400 nm–800 nm range through the mere tilting of the sensor in the spectrometer.

詳細情報

刊年

2022

形態

電子化映像資料(30分49秒）

シリーズ名

情報科学領域・コロキアム ; 2022年度

注記

講演者所属: 情報科学領域

講演日: 2022年6月23日 3限

講演場所: 情報科学棟 エーアイ大講義室(L1)

標題言語

英語 (eng)

本文言語

英語 (eng)

著者情報

Kitano, Kazuya