MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results

TL;DR

The MIPI 2024 challenge on demosaic for hybrid EVS cameras focused on nighttime flare removal, attracting 170 participants and achieving state-of-the-art results through novel algorithms and collaborative efforts.

Contribution

This paper presents the third MIPI challenge on imaging algorithms, specifically addressing nighttime flare removal, with a new dataset and competitive results from 14 teams.

Findings

Achieved state-of-the-art performance in nighttime flare removal.

Engaged 170 participants with 14 teams submitting results.

Provided a new dataset for research in mobile imaging.

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 https://mipi-challenge.org/MIPI2024/.