CVApr 22, 2024

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

arXiv:2404.14248v164 citationsh-index: 982024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Originality Synthesis-oriented
AI Analysis

It addresses the problem of enhancing low-light images for applications like photography and vision systems, but is incremental as it summarizes existing methods from a competition.

This paper reviews the NTIRE 2024 challenge on low light image enhancement, which aimed to develop solutions for improving image quality under various difficult conditions, with 22 teams submitting valid methods.

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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