Enhancing Low-light Images using Infrared Encoded Images

Shulin Tian, Yufei Wang, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

Low-light image enhancement task is essential yet challenging as it is ill-posed intrinsically. Previous arts mainly focus on the low-light images captured in the visible spectrum using pixel-wise loss, which limits the capacity of recovering the brightness, contrast, and texture details due to the small number of income photons. In this work, we propose a novel approach to increase the visibility of images captured under low-light environments by removing the in-camera infrared (IR) cut-off filter, which allows for the capture of more photons and results in improved signal-to-noise ratio due to the inclusion of information from the IR spectrum. To verify the proposed strategy, we collect a paired dataset of low-light images captured without the IR cut-off filter, with corresponding long-exposure reference images with an external filter. The experimental results on the proposed dataset demonstrate the effectiveness of the proposed method, showing better performance quantitatively and qualitatively. The dataset and code are publicly available at https://wyf0912.github.io/ELIEI/
Original languageEnglish
Title of host publication2023 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Pages465-469
Number of pages5
ISBN (Electronic)9781728198354
ISBN (Print)9781728198361
DOIs
Publication statusPublished - 8 Oct 2023
Event2023 IEEE International Conference on Image Processing, ICIP 2023 - Kuala Lumpur, Malaysia
Duration: 8 Oct 202311 Oct 2023
https://2023.ieeeicip.org/ (Conference website)
https://ieeexplore.ieee.org/xpl/conhome/10221937/proceeding (Conference proceedings)
https://cmsworkshops.com/ICIP2023/technical_program.php (Conference programme)

Publication series

NameIEEE International Conference on Image Processing, ICIP
PublisherIEEE

Conference

Conference2023 IEEE International Conference on Image Processing, ICIP 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period8/10/2311/10/23
Internet address

Scopus Subject Areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

User-Defined Keywords

  • Low-light enhancement
  • computational photography
  • infrared photography

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