CVApr 30, 2025

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

arXiv:2505.05488v12 citationsh-index: 5Has Code
Originality Synthesis-oriented
AI Analysis

It addresses the need for broader understanding in utilizing event cameras for universal imaging applications, but is incremental as it synthesizes existing research.

This survey tackles the lack of a comprehensive study on event-based imaging technologies by reviewing recent advances and challenges, providing a foundation through physical models and exploring tasks like image enhancement and light field estimation.

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

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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