Mitigating the ambiguity problem in the CNN-based wavefront correction.

Journal: Optics letters
Published Date: Jul 1, 2022

Abstract

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.

Authors

  • Chenda Lu
  • Qinghua Tian
  • Lei Zhu
    School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, China.
  • Ran Gao
    College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Haipeng Yao
  • Feng Tian
    Bioinformatics Graduate Program, and Department of Biomedical Engineering, Boston. University, 24 Cummington Mall, Boston, MA 02215, USA.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Xiangjun Xin

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