High-fidelity phase retrieval via combined constraints framework

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.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1117/12.3036349
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
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article

High-fidelity phase retrieval via combined constraints framework

Yunxin Wang, Shufeng Lin, Feifan Fan, Lü Rong et al.
Advanced X-ray Imaging Techniques
article

High-fidelity phase retrieval via combined constraints framework

Yunxin Wang, Shufeng Lin, Feifan Fan, Lü Rong, Jie Zhao, Dayong Wang
article en

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.

Beijing University of Technology (CN)
Openalex Percentile: Top 70%
Advanced X-ray Imaging Techniques
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