From Events to Enhancement: A Survey on Event-Based Imaging Technologies
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866912367152988160 |
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| author | Lu, Yunfan Xu, Xiaogang Li, Pengteng Wang, Yusheng Cui, Yi Yao, Huizai Xiong, Hui |
| author_facet | Lu, Yunfan Xu, Xiaogang Li, Pengteng Wang, Yusheng Cui, Yi Yao, Huizai Xiong, Hui |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_05488 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Events to Enhancement: A Survey on Event-Based Imaging Technologies Lu, Yunfan Xu, Xiaogang Li, Pengteng Wang, Yusheng Cui, Yi Yao, Huizai Xiong, Hui Computer Vision and Pattern Recognition 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 |
| title | From Events to Enhancement: A Survey on Event-Based Imaging Technologies |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2505.05488 |