Abstract
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.
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The authors acknowledge support from the National Natural Science Foundation of China (Grant No. 12174341).
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Bao, Y., Shi, H., Zhai, J. et al. Asynchronous temporal mapping for high-dynamic-range video and hardware-level privacy with event cameras. Commun Eng (2026). https://doi.org/10.1038/s44172-026-00687-4
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DOI: https://doi.org/10.1038/s44172-026-00687-4
