Events Meet Phase-Shifting Digital Holography: Practical Acquisition, Theory, and Algorithms

📅 2025-11-10
📈 Citations: 0
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🤖 AI Summary
Traditional phase-shifting digital holography suffers from low acquisition efficiency due to its requirement of multiple exposures. To address this, we propose a single-shot full complex wavefront reconstruction method that synergistically integrates an event-based vision sensor (EVS) with phase-shifting principles. By introducing controlled phase shifts during a single exposure, the system simultaneously captures a blurred hologram and high-temporal-resolution event streams. Leveraging their complementary properties—intensity constraints from the hologram and phase-dynamic encoding from the events—we formulate a joint optimization model for high-fidelity complex wavefront recovery. This work pioneers the incorporation of event cameras into phase-shifting holography, overcoming the temporal constraints inherent in multi-step phase shifting. Experimental results demonstrate reconstruction accuracy comparable to conventional four-step phase-shifting holography, while achieving over 75% improvement in acquisition efficiency and significantly enhancing wavefront sensing capability for dynamic scenes.

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📝 Abstract
We introduce a novel phase-shifting digital holography (PSDH) method leveraging a hybrid event-based vision sensor (EVS). The key idea of our method is the phase shift during a single exposure. The hybrid EVS records a hologram blurred by the phase shift, together with the events corresponding to blur variations. We present analytical and optimization-based methods that theoretically support the reconstruction of full-complex wavefronts from the blurred hologram and events. The experimental results demonstrate that our method achieves a reconstruction quality comparable to that of a conventional PSDH method while enhancing the acquisition efficiency.
Problem

Research questions and friction points this paper is trying to address.

Develops event-based phase-shifting holography with hybrid sensor
Reconstructs full-complex wavefronts from blurred holograms and events
Achieves conventional quality with enhanced acquisition efficiency
Innovation

Methods, ideas, or system contributions that make the work stand out.

Hybrid event sensor enables single-exposure phase shifting
Analytical optimization reconstructs full-complex wavefronts
Achieves conventional quality with enhanced acquisition efficiency
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Ittetsu Uchiyama
Department of Information and Communication Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan
C
Chihiro Tsutake
Department of Information and Communication Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan
Keita Takahashi
Keita Takahashi
Associate Professor, Nagoya University, Japan
Image ProcessingComputer Vision
Toshiaki Fujii
Toshiaki Fujii
Nagoya University
Image Processing