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Complex amplitude reconstruction by iterative amplitude-phase retrieval algorithm with reference
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DOI：10.1016/j.optlaseng.2018.01.004.png)
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Multi-image iterative phase retrieval methods have been successfully applied in plenty of research fields due to their simple but efficient implementation. However, there is a mismatch between the measurement of the first long imaging distance and the sequential interval. In this paper, an amplitude-phase retrieval algorithm with reference is put forward without additional measurements or priori knowledge. It gets rid of measuring the first imaging distance. With a designed update formula, it significantly raises the convergence speed and the reconstruction fidelity, especially in phase retrieval. Its superiority over the original amplitude-phase retrieval (APR) method is validated by numerical analysis and experiments. Furthermore, it provides a conceptual design of a compact holographic image sensor, which can achieve numerical refocusing easily. (C) 2018 Elsevier Ltd. All rights reserved.
Keyword:
Phase retrieval
Image reconstruction techniques
Computational imaging
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3D intensity and phase imaging from light field measurements in an LED array microscope来自LED阵列显微镜中光场测量的3D强度和相位成像.png)
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