High-performance compressed ultrafast on-axis holographic imaging

Acquiring the phase information could significantly enhance the potential of compressed ultrafast photography (CUP) for frontier scientific exploration as well as engineering application. In this paper, we present a novel compressed ultrafast onaxis holographic imaging system that combines compressed ultrafast photography and on-axis holography techniques, to achieve phase measurements in ultrafast temporal resolution. For data acquisition, the laser passes through the dynamic scene to form the object light, and then converges with the reference light to produce a hologram. This hologram is recorded in a compressed snapshot using spatial encoding, temporal shearing and spatio-temporal integration techniques. For image reconstruction, we propose an algorithm combining the plug-and-play generalized alternating projection (PnP-GAP) and FFDNet deep denoising prior. Simulation results validate the effectiveness of our proposed method.

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Publication Details

Published
2024-10-10
DOI
https://doi.org/10.1117/12.3035811
Primary Topic
Advanced Optical Sensing Technologies
Type
article
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article

High-performance compressed ultrafast on-axis holographic imaging

Xiaoqun Yuan, Jingjing Cheng, Jiaye Kuang, Yi Ding et al.
Advanced Optical Sensing Technologies
article

High-performance compressed ultrafast on-axis holographic imaging

Xiaoqun Yuan, Jingjing Cheng, Jiaye Kuang, Yi Ding, Zhao Ma
article en

Abstract

Acquiring the phase information could significantly enhance the potential of compressed ultrafast photography (CUP) for frontier scientific exploration as well as engineering application. In this paper, we present a novel compressed ultrafast onaxis holographic imaging system that combines compressed ultrafast photography and on-axis holography techniques, to achieve phase measurements in ultrafast temporal resolution. For data acquisition, the laser passes through the dynamic scene to form the object light, and then converges with the reference light to produce a hologram. This hologram is recorded in a compressed snapshot using spatial encoding, temporal shearing and spatio-temporal integration techniques. For image reconstruction, we propose an algorithm combining the plug-and-play generalized alternating projection (PnP-GAP) and FFDNet deep denoising prior. Simulation results validate the effectiveness of our proposed method.

Wuhan University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Advanced Optical Sensing Technologies
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High-performance compressed ultrafast on-axis holographic imaging — Xiaoqun Yuan, Jingjing Cheng, et al. · (2024) | TGRS Research Map | TGRS