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的需求不断增加，相机系统中的高级图像传感器与新型算法 integration 越来越普遍。然而，高质量数据的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 previous MIPI Workshops at ECCV 2022 和 CVPR 2023 的基础上，我们介绍了我们的第三个 MIPI 挑战，包括三个专注于新颖图像传感器和成像算法的轨道。在本文中，我们总结了和回顾了 MIPI 2024 中的夜间闪光消除轨道。在测试阶段，共有 170 名参与者成功注册，14 支团队提交了最终测试阶段的结果。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，请查阅此链接。
URL
https://arxiv.org/abs/2405.04867
