Lightness enhancement method for low illumination night-time image

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


Computer vision applications under low illumination, such as night-time images, possess a difficult challenge. Night-time images suffer from the loss of visibility due to inadequate illumination, which affects the performance of outdoor computer vision systems. Thus, to improve the reliability of the outdoor computer vision systems during night-time, it is essential to enhance low illumination night-time images. In this paper, we propose a lightness enhancement method that removes the night-time color cast. The proposed method compensates for the red, green, and blue color channels of the night-time image by adding a fraction of each channel to itself. Then, it averages out the compensated color channel values with the compensated mean values. It effectively removes the night-time color cast and increases the image visibility. Experiments are conducted to evaluate the effectiveness of the proposed method, and the results are compared with two night-time image enhancement methods using objective and subjective evaluations. The results show that the proposed method produced enhanced images with better image visibility than the other two methods.
Original languageEnglish
Title of host publicationFirst International Conference on Computational Science and Data Analytics (COMDATA 2021)
EditorsK. Ratnavelu
PublisherAIP Publishing
Number of pages6
ISBN (Print)Kuala Lumpur
Publication statusPublished - 28 Jun 2023
Externally publishedYes
EventInternational Conference on Computational Science and Data Analytics 2021 - Kuala Lumpur, Malaysia
Duration: 21 Nov 202124 Nov 2021
Conference number: 1st (Proceedings) (Website)


ConferenceInternational Conference on Computational Science and Data Analytics 2021
Abbreviated titleCOMDATA 2021
CityKuala Lumpur
Internet address


  • Image processing
  • Artificial intelligence

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