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Metrics for Low-Light Image Quality Assessment

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(8), pp.11-19
  • DOI : 10.9708/jksci.2023.28.08.011
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 11, 2023
  • Accepted : August 1, 2023
  • Published : August 31, 2023

Sangmin Kim 1

1ENERZAi

Accredited

ABSTRACT

In this paper, it is confirmed that the metrics used to evaluate image quality can be applied to low-light images. Due to the nature of low-illumination images, factors related to light create various noise patterns, and the smaller the amount of light, the more severe the noise. Therefore, in situations where it is difficult to obtain a clean image without noise, the quality of a low-illuminance image from which noise has been removed is often judged by the human eye. In this paper, noise in low-illuminance images for which ground truth cannot be obtained is removed using Noise2Noise, and spatial resolution and radial resolution are evaluated using ISO 12233 charts and colorchecker as metrics such as MTF and SNR. It can be shown that the quality of the low-illuminance image, which has been evaluated mainly for qualitative evaluation, can also be evaluated quantitatively.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.