Brightening the shadows: low-light image feature enhancement

Gavin Halford; Arthur C. Depoian II; Colleen P. Bailey

doi:10.1117/12.3013958

7 June 2024 Brightening the shadows: low-light image feature enhancement

Gavin Halford, Arthur C. Depoian II, Colleen P. Bailey

Proceedings Volume 13033, Multimodal Image Exploitation and Learning 2024; 1303303 (2024) https://doi.org/10.1117/12.3013958
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Low-light image enhancement plays a crucial role for applications in security, photography, medical imaging, and scientific research. Traditional enhancement methods, including multi-spectral hardware and contrast adjustments via computer vision, often fall short due to current hardware limitations or the sparse data available in low-light conditions. This paper introduces an innovative approach that significantly improves the brightness and overall quality of low-light images, focusing on enhanced feature extraction. Our method efficiently and accurately compensates for missing data in real-time, making it highly suitable for scenarios that demand immediate processing. This is particularly beneficial for surveillance applications, where the clarity of images is essential for swift decision-making.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Gavin Halford, Arthur C. Depoian II, and Colleen P. Bailey "Brightening the shadows: low-light image feature enhancement", Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 1303303 (7 June 2024); https://doi.org/10.1117/12.3013958

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