CVApr 30, 2024

MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results

arXiv:2404.19534v24 citationsh-index: 312024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Originality Synthesis-oriented
AI Analysis

This addresses the problem of improving mobile photography quality for users by tackling nighttime flare removal, but it is incremental as it builds on previous challenges and focuses on a specific domain.

The paper summarizes the MIPI 2024 Challenge on Nighttime Flare Removal, where 14 teams submitted solutions that achieved state-of-the-art performance in removing flares from nighttime images.

The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). Building on the achievements of the previous MIPI Workshops held at ECCV 2022 and CVPR 2023, we introduce our third MIPI challenge including three tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Nighttime Flare Removal track on MIPI 2024. In total, 170 participants were successfully registered, and 14 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal. More details of this challenge and the link to the dataset can be found at https://mipi-challenge.org/MIPI2024/.

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