Multispectral compressive sensing using a silicon-based PEC cell

Ji Hoon Kang, Minjeong Kim, Jongtae Ahn, Do Kyung Hwang, Jinwoo Park, Byeong Kwon Ju, Myungha Kim, Min Chul Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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 languageEnglish
Title of host publicationComputational Imaging IV
EditorsAbhijit Mahalanobis, Lei Tian, Jonathan C. Petruccelli
ISBN (Electronic)9781510626454
Publication statusPublished - 2019
EventComputational Imaging IV 2019 - Baltimore, United States
Duration: 2019 Apr 142019 Apr 15

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceComputational Imaging IV 2019
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.


  • 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


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