Paper
21 June 2024 Analysis of low-light image enhancement algorithms
E. Li
Author Affiliations +
Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316728 (2024) https://doi.org/10.1117/12.3029762
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China
Abstract
Low-light image enhancement is for the sake of improving the quality of visual perception of captured data on the conditions under low-light to obtain more information, and has gradually become a research hotspot in the field of image processing. It has broad application prospects in artificial intelligence related industries such as autonomous driving and security. This article reviews the current research status of low-light image enhancement algorithms, provides a detailed analysis of the circumstances of low-light image enhancement algorithms, and analyzes the current low-light image enhancement algorithms. Based on the exploration of the above current situation and combined with practical applications, this article points out the limitations of the current algorithm and predicts its development trend.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
E. Li "Analysis of low-light image enhancement algorithms", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316728 (21 June 2024); https://doi.org/10.1117/12.3029762
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KEYWORDS
Image enhancement

Deep learning

Image processing

Data modeling

Evolutionary algorithms

Mathematical optimization

Light sources and illumination

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