Paper
22 November 2024 High-fidelity phase retrieval via combined constraints framework
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Abstract
The optical configuration of the in-line digital holography is compact and simple, but the presence of twin images limits its application. In this work, we introduce an iterative projection optimization algorithm via combined constraints framework (CCF). Specifically, Positive absorption constraints, total variation minimization, and denoising regularization are introduced in the optimization framework to ensure the authenticity of the reconstructed target wave complex amplitude field and the signal-to-noise ratio of the reconstructed image. The feasibility of our method has been verified through the optical experiments. Compared with existing methods, this method has higher imaging fidelity.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Feifan Fan, Dayong Wang, Jie Zhao, Lu Rong, Yunxin Wang, and Shufeng Lin "High-fidelity phase retrieval via combined constraints framework", Proc. SPIE 13240, Holography, Diffractive Optics, and Applications XIV, 132400E (22 November 2024); https://doi.org/10.1117/12.3036349
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KEYWORDS
Phase retrieval

Digital holography

Holography

Reconstruction algorithms

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