TY - GEN
T1 - Multispectral compressive sensing using a silicon-based PEC cell
AU - Kang, Ji Hoon
AU - Kim, Minjeong
AU - Ahn, Jongtae
AU - Hwang, Do Kyung
AU - Park, Jinwoo
AU - Ju, Byeong Kwon
AU - Kim, Myungha
AU - Park, Min Chul
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Compressive sensing
KW - Multispectral
KW - Photoelectrochemical
KW - Single-pixel imaging
UR - http://www.scopus.com/inward/record.url?scp=85072638657&partnerID=8YFLogxK
U2 - 10.1117/12.2521417
DO - 10.1117/12.2521417
M3 - Conference contribution
AN - SCOPUS:85072638657
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Computational Imaging IV
A2 - Mahalanobis, Abhijit
A2 - Tian, Lei
A2 - Petruccelli, Jonathan C.
PB - SPIE
T2 - Computational Imaging IV 2019
Y2 - 14 April 2019 through 15 April 2019
ER -
