Abstract
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 this https URL.
Abstract (translated)
随着移动平台对计算摄影和图像需求的不断增加，相机系统中正广泛开发和集成先进的图像传感器以及新型算法。然而，高质量的研究数据稀缺，以及工业和学术界之间深入交流的罕见机会，限制了移动智能摄影和成像（MIPI）的发展。在以前MIPI研讨会和CVPR 2023的基础上，我们介绍了我们的第三届MIPI挑战，包括三个关注 novel image sensors 和 imaging algorithms 的 track。在本文中，我们总结了和回顾了MIPI 2024中的夜间闪光消除 track。在最终的测试阶段，共有170名参与者成功注册，14个团队提交了结果。这个挑战中开发出的解决方案在夜间闪光消除方面实现了最先进的性能。关于这个挑战以及与数据集的链接，详情请查看这个链接。
URL
https://arxiv.org/abs/2404.19534
