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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.
Enbang Li (Fri,) studied this question.
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