NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun, Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu,, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan, Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng

TL;DR
This paper reviews the NTIRE 2024 challenge on low light image enhancement, showcasing innovative methods and their effectiveness in improving image brightness and clarity across diverse challenging conditions.
Contribution
It presents a comprehensive overview of the challenge, including participant solutions, evaluation results, and insights into the latest advancements in low light image enhancement.
Findings
High participant engagement with 428 registrations
22 valid submissions demonstrating diverse approaches
Significant progress in enhancing ultra-high resolution and challenging lighting conditions
Abstract
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, including ultra-high resolution (4K and beyond), non-uniform illumination, backlighting, extreme darkness, and night scenes. A notable total of 428 participants registered for the challenge, with 22 teams ultimately making valid submissions. This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.
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Taxonomy
TopicsImage Enhancement Techniques · Advanced Optical Sensing Technologies
