Spectrum-Dependent Image Convolutional Processing via a Two-Dimensional Polarization-Sensitive Photodetector.

Nano Lett

State Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.

Published: June 2024

AI Article Synopsis

  • * Researchers are focusing on improving photodetectors that can perform real-time computations and handle various functions simultaneously at the sensor level.
  • * This study introduces a unique p-type semiconductor called GaTeSe, which allows for three-band imaging and real-time image processing by utilizing polarization-sensitive photocurrents across a wavelength range of 390-810 nm.

Article Abstract

Currently, the improvement in the processing capacity of traditional processors considerably lags behind the demands of real-time image processing caused by the advancement of photodetectors and the widespread deployment of high-definition image sensors. Therefore, achieving real-time image processing at the sensor level has become a prominent research domain in the field of photodetector technology. This goal underscores the need for photodetectors with enhanced multifunctional integration capabilities than can perform real-time computations using optical or electrical signals. In this study, we employ an innovative p-type semiconductor GaTeSe to construct a polarization-sensitive wide-spectral photodetector. Leveraging the wide-spectral photoresponse, we realize three-band imaging within a wavelength range of 390-810 nm. Furthermore, real-time image convolutional processing is enabled by configuring appropriate convolution kernels based on the polarization-sensitive photocurrents. The innovative design of the polarization-sensitive wide-spectral GaTeSe-based photodetector represents a notable contribution to the domain of real-time image perception and processing.

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http://dx.doi.org/10.1021/acs.nanolett.4c01543DOI Listing

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