基于深度学习的相位检索混合方法

Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP) Pub Date : 2019-06-24 DOI:10.1364/COSI.2019.CTH2C.5

Çaǧatay Işıl, F. Oktem, Aykut Koç

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引用次数: 4

摘要

我们开发了一种相位检索算法，该算法利用混合输入输出(HIO)算法和深度神经网络(DNN)。DNN架构经过训练，可以去除HIO的工件，并与HIO迭代使用以改进重建。结果表明，该方法的有效性和额外的成本很少。

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Deep Learning-Based Hybrid Approach for Phase Retrieval

We develop a phase retrieval algorithm that utilizes the hybrid-input-output (HIO) algorithm with a deep neural network (DNN). The DNN architecture, which is trained to remove the artifacts of HIO, is used iteratively with HIO to improve the reconstructions. The results demonstrate the effectiveness of the approach with little additional cost.

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来源期刊

Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)

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