期刊
OPTICS LETTERS
卷 47, 期 13, 页码 3251-3254出版社
Optica Publishing Group
DOI: 10.1364/OL.459799
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In this work, an attention-based adaptive optics method is proposed, which integrates phase diversity with a convolutional neural network (CNN) using a non-local block. Simulation results demonstrate the effectiveness of the proposed method in mitigating the ambiguity problem of phase retrieval and its superior performance compared to traditional CNN-based wavefront correction.
In this work, we propose an attention-based adaptive optics method that uses a non-local block to integrate phase diversity with a convolutional neural network (CNN). The simulation results showcase the effectiveness of the proposed method to mitigate the ambiguity problem of phase retrieval and better performance than traditional CNN-based wavefront correction. (C) 2022 Optica Publishing Group
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