Events meet phase-shifting digital holography: practical acquisition, theory, and algorithms

Area of Science:

• Optics and Photonics
• Computer Vision
• Metrology

Background:

• Phase-shifting digital holography (PSDH) is crucial for wavefront reconstruction.
• Conventional PSDH methods often require multiple exposures, limiting acquisition speed.
• Event-based vision sensors (EVS) offer high temporal resolution and low latency.

Purpose of the Study:

• To introduce a novel phase-shifting digital holography (PSDH) method utilizing a hybrid event-based vision sensor (EVS).
• To enable phase shift within a single exposure for improved acquisition efficiency.
• To reconstruct full-complex wavefronts from blurred holograms and associated event data.

Main Methods:

• Development of a hybrid EVS capable of recording blurred holograms and blur variation events simultaneously.
• Application of analytical and optimization-based algorithms for wavefront reconstruction.
• Experimental validation of the proposed method against conventional PSDH techniques.

Main Results:

• The hybrid EVS successfully captured blurred holograms and corresponding events.
• Analytical and optimization methods effectively reconstructed wavefronts from the captured data.
• The proposed PSDH method demonstrated reconstruction quality comparable to conventional approaches.
• Significant enhancement in acquisition efficiency was observed.

Conclusions:

• The novel PSDH method using a hybrid EVS is a viable and efficient alternative for wavefront reconstruction.
• This approach overcomes the limitations of multi-exposure requirements in conventional PSDH.
• The integration of EVS technology opens new possibilities for high-speed holographic imaging.