A generalized iterative projection framework for pixel-super-resolved holographic imaging

GAEA Spatial Light Modulators
Digital-/ Computer Holography/ CGH Imaging/ Image Processing
Published on:
Authors: Gao, Yunhui & Cao, Liangcai
Abstract:
“Lensless holographic imaging is challenged by the twin-image artifact due to the missing phase and the aliasing effect due to the undersampled measurement. Therefore, phase retrieval and pixel super-resolution (PSR) techniques serve as the essential ingredients for high-fidelity holographic imaging. In this work, we combine the two in a unified framework by formulating the PSR phase retrieval as a non-convex feasibility problem. An adaptive smoothing strategy for escaping local minima is introduced. Numerical and experimental results are presented and discussed. The proposed framework can be generalized to various physical settings, and is compatible with the state-of-the-art iterative projection algorithms.”

Restricted Access

Publication: SPIE BiOS, 2021
Issue/Year: Proceedings Volume 11653, Quantitative Phase Imaging VII; 1165306 (2021)
DOI: 10.1117/12.2577198
Link: https://doi.org/10.1117/12.2577198

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