菜单

关于 🐙 GitHub
arXiv 提交日期: 2026-04-16
📄 Abstract - High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams

Conventional RGB-based high dynamic range (HDR) imaging faces a fundamental trade-off between motion artifacts in multi-exposure captures and irreversible information loss in single-shot techniques. Modulo sensors offer a promising alternative by encoding theoretically unbounded dynamic range into wrapped measurements. However, existing modulo solutions remain bottlenecked by iterative unwrapping overhead and hardware constraints limiting them to low-speed, grayscale capture. In this work, we present a complete modulo-based HDR imaging system that enables high-speed, full-color HDR acquisition by synergistically advancing both the sensing formulation and the unwrapping algorithm. At the core of our approach is an exposure-decoupled formulation of modulo imaging that allows multiple measurements to be interleaved in time, preserving a clean, observation-wise measurement model. Building upon this, we introduce an iteration-free unwrapping algorithm that integrates diffusion-based generative priors with the physical least absolute remainder property of modulo images, supporting highly efficient, physics-consistent HDR reconstruction. Finally, to validate the practical viability of our system, we demonstrate a proof-of-concept hardware implementation based on modulo-encoded spike streams. This setup preserves the native high temporal resolution of spike cameras, achieving 1000 FPS full-color imaging while reducing output data bandwidth from approximately 20 Gbps to 6 Gbps. Extensive evaluations indicate that our coordinated approach successfully overcomes key systemic bottlenecks, demonstrating the feasibility of deploying modulo imaging in dynamic scenarios.

顶级标签: computer vision systems model training
详细标签: hdr imaging modulo sensors spike cameras diffusion priors high-speed capture 或 搜索:

通过解包模数编码脉冲流实现高速全彩色高动态范围成像 / High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams


1️⃣ 一句话总结

这项研究提出了一种全新的高速全彩色高动态范围成像系统,它通过创新的模数编码和解包算法,解决了传统方法在动态范围和速度上的矛盾,实现了在动态场景下以1000帧/秒的速率进行高质量成像,同时大幅降低了数据带宽。

源自 arXiv: 2604.14632