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13 May 2019 Multispectral compressive sensing using a silicon-based PEC cell
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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.
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Ji-Hoon Kang, Minjeong Kim, Jongtae Ahn, Do Kyung Hwang, Jinwoo Park, Byeong-Kwon Ju, Myungha Kim, and Min-Chul Park "Multispectral compressive sensing using a silicon-based PEC cell", Proc. SPIE 10990, Computational Imaging IV, 109900N (13 May 2019); https://doi.org/10.1117/12.2521417
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