🤖 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.
📝 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.