Low-Light Image Enhancement with Contrast Increase and Illumination Smooth

Hongyue LENG, Bin FANG*, Mingliang ZHOU, Bin WU, Qin MAO*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

4 Citations (Scopus)

Abstract

In image enhancement, maintaining the texture and attenuating noise are worth discussing. To address these problems, we propose a low-light image enhancement method with contrast increase and illumination smooth. First, we calculate the maximum map and the minimum map of RGB channels, and then we set maximum map as the initial value for illumination and introduce minimum map to smooth illumination. Second, we use the histogram-equalized version of the input image to construct the weight for the illumination map. Third, we propose an optimization problem to obtain the smooth illumination and refined reflectance. Experimental results show that our method can achieve better performance compared to the state-of-the-art methods.

Original languageEnglish
Article number2354003
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume37
Issue number3
Early online date28 Jan 2023
DOIs
Publication statusPublished - 15 Mar 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 World Scientific Publishing Company.

Keywords

  • Contrast increase
  • illumination smooth
  • noise suppression
  • Retinex theory

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