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Proceedings Paper

Multispectral compressive sensing using a silicon-based PEC cell
Author(s): Ji-Hoon Kang; Minjeong Kim; Jongtae Ahn; Do Kyung Hwang; Jinwoo Park; Byeong-Kwon Ju; Myungha Kim; Min-Chul Park
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Paper Abstract

The properties of photoelectrochemical (PEC) cells have mainly been investigated with a focus on PEC hydrogen production. Because anodic current begins to flow when PEC cell is under illumination, and that this current varies as a function of light intensity, PEC cells can be used as a photodetector. Different from other image sensors, PEC cells can detect the light immersed in solutions due to their PEC properties. To verify the feasibility of using silicon-based PEC cell as an image sensor, we demonstrated a single pixel imaging system based on compressive sensing. Compressive sensing is an algorithm designed to recover signals from a small number of measurements, assuming that the signal of interest can be represented in a sparse way. In this study, we have demonstrated multispectral imaging using a siliconbased PEC cell with compressive sensing. The images were obtained in three primary colors (red, green, and blue). Due to the high photoresponse, stability and unique characteristic that silicon-based PEC cell can be used underwater, the silicon-based PEC cell is expected to be utilized in the future as a photodetector for various applications. We believe this study would be a great example of advanced developments in an optoelectronic system based on PEC cells.

Paper Details

Date Published: 13 May 2019
PDF: 6 pages
Proc. SPIE 10990, Computational Imaging IV, 109900N (13 May 2019); doi: 10.1117/12.2521417
Show Author Affiliations
Ji-Hoon Kang, Korea Institute of Science and Technology (Korea, Republic of)
Minjeong Kim, Korea Institute of Science and Technology (Korea, Republic of)
Korea Univ. (Korea, Republic of)
Jongtae Ahn, Korea Institute of Science and Technology (Korea, Republic of)
Yonsei Univ. (Korea, Republic of)
Do Kyung Hwang, Korea Institute of Science and Technology (Korea, Republic of)
Jinwoo Park, Korea Univ. (Korea, Republic of)
Byeong-Kwon Ju, Korea Univ. (Korea, Republic of)
Myungha Kim, Seokyeong Univ. (Korea, Republic of)
Min-Chul Park, Korea Institute of Science and Technology (Korea, Republic of)

Published in SPIE Proceedings Vol. 10990:
Computational Imaging IV
Abhijit Mahalanobis; Lei Tian; Jonathan C. Petruccelli, Editor(s)

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