English

From Events to Enhancement: A Survey on Event-Based Imaging Technologies

Computer Vision and Pattern Recognition 2025-05-12 v1

Abstract

Event cameras offering high dynamic range and low latency have emerged as disruptive technologies in imaging. Despite growing research on leveraging these benefits for different imaging tasks, a comprehensive study of recently advances and challenges are still lacking. This limits the broader understanding of how to utilize events in universal imaging applications. In this survey, we first introduce a physical model and the characteristics of different event sensors as the foundation. Following this, we highlight the advancement and interaction of image/video enhancement tasks with events. Additionally, we explore advanced tasks, which capture richer light information with events, \eg~light field estimation, multi-view generation, and photometric. Finally, we discuss new challenges and open questions offering a perspective for this rapidly evolving field. More continuously updated resources are at this link: https://github.com/yunfanLu/Awesome-Event-Imaging

Keywords

Cite

@article{arxiv.2505.05488,
  title  = {From Events to Enhancement: A Survey on Event-Based Imaging Technologies},
  author = {Yunfan Lu and Xiaogang Xu and Pengteng Li and Yusheng Wang and Yi Cui and Huizai Yao and Hui Xiong},
  journal= {arXiv preprint arXiv:2505.05488},
  year   = {2025}
}