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<p>Conventional imaging systems struggle to simultaneously achieve high-dynamic-range imaging under extreme illumination and ensure that visual data remain confidential from the moment of acquisition. Here we present Asynchronous Temporal Mapping, a framework that encodes high-dynamic-range visual information into a chaotic, asynchronous event stream through pixel-wise optical modulation. The framework addresses the bandwidth bottleneck of prior synchronous temporal-mapping approaches, enabling high-fidelity video capture with event cameras. By embedding the asynchronous principle of event sensing into a computational optical pipeline, it introduces an imaging framework characterized by high-dynamic-range video capture and inherent hardware-level protection.</p>

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Asynchronous temporal mapping for high-dynamic-range video and hardware-level privacy with event cameras

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月13日

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  • Yuhan Bao,
  • Hao Shi,
  • Jiajun Zhai,
  • Kaiwei Wang

摘要

Conventional imaging systems struggle to simultaneously achieve high-dynamic-range imaging under extreme illumination and ensure that visual data remain confidential from the moment of acquisition. Here we present Asynchronous Temporal Mapping, a framework that encodes high-dynamic-range visual information into a chaotic, asynchronous event stream through pixel-wise optical modulation. The framework addresses the bandwidth bottleneck of prior synchronous temporal-mapping approaches, enabling high-fidelity video capture with event cameras. By embedding the asynchronous principle of event sensing into a computational optical pipeline, it introduces an imaging framework characterized by high-dynamic-range video capture and inherent hardware-level protection.