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.
| Original language | English |
|---|---|
| Title of host publication | Computational Imaging IV |
| Editors | Abhijit Mahalanobis, Lei Tian, Jonathan C. Petruccelli |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510626454 |
| DOIs | |
| Publication status | Published - 2019 Jan 1 |
| Event | Computational Imaging IV 2019 - Baltimore, United States Duration: 2019 Apr 14 → 2019 Apr 15 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 10990 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | Computational Imaging IV 2019 |
|---|---|
| Country | United States |
| City | Baltimore |
| Period | 19/4/14 → 19/4/15 |
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Keywords
- Compressive sensing
- Multispectral
- Photoelectrochemical
- Single-pixel imaging
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Multispectral compressive sensing using a silicon-based PEC cell. / Kang, Ji Hoon; Kim, Minjeong; Ahn, Jongtae; Hwang, Do Kyung; Park, Jinwoo; Ju, Byeong Kwon; Kim, Myungha; Park, Min Chul.
Computational Imaging IV. ed. / Abhijit Mahalanobis; Lei Tian; Jonathan C. Petruccelli. SPIE, 2019. 109900N (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10990).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
PY - 2019/1/1
Y1 - 2019/1/1
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
UR - http://www.scopus.com/inward/citedby.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
ER -