MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results
This addresses the problem of high-quality data scarcity and limited industry-academia collaboration in mobile intelligent photography and imaging, though it is incremental as part of an ongoing challenge series.
The paper introduces the MIPI 2024 Challenge, focusing on a Nighttime Flare Removal track, where 14 teams submitted solutions that achieved state-of-the-art performance in demosaicing for hybridEVS cameras.
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/.