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Updated: May 28, 2025

Recording Ultra-Realistic Full-Color Analog Holograms for Use in a Moving Hologram Display

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Published on: January 14, 2020

Fourier-inspired single-pixel holography.

Haofan Wang, Fei Wang, Yichen Zhang

|February 14, 2025

Summary

Fourier-inspired single-pixel holography (FISH) enables phase imaging using a single-pixel detector. This digital holography technique, enhanced by deep learning, achieves high-quality results with minimal data, expanding imaging possibilities.

Area of Science:

Optics and Photonics
Digital Imaging
Computational Imaging

Background:

Conventional digital holography (DH) often requires cameras for capturing light field information.
Single-pixel imaging (SPI) offers advantages in specialized environments but typically lacks phase retrieval capabilities.

Purpose of the Study:

To introduce Fourier-inspired single-pixel holography (FISH) for efficient phase imaging.
To leverage deep learning for optimizing FISH performance at low sampling ratios.
To demonstrate the potential of FISH in expanding DH and SPI applications.

Main Methods:

FISH combines Fourier single-pixel imaging with off-axis holography principles.
A deep learning model jointly optimizes sampling masks and image enhancement.

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Simulations and experimental validation were performed for single-pixel phase imaging.

Main Results:

FISH directly acquires useful information, bypassing spatial domain hologram recording.
High-quality phase imaging was achieved at a low sampling ratio using deep learning.
Experimental results confirm the effectiveness of the FISH technique.

Conclusions:

FISH effectively integrates SPI and DH for advanced phase imaging.
The method shows promise for applications in specialized spectral bands and low-light conditions.
FISH enhances SPI with phase detection and coherent gating capabilities.