Laser & Optoelectronics Progress, Volume. 61, Issue 10, 1037003(2024)

Deep Iterative Filter Adaptive Network for Simple Lens Imaging System

Yi Huang* and Tao Xiong
Author Affiliations
  • Huazhong Institute of Electro-Optics, Wuhan National Laboratory for Optoelectronics, Wuhan 430223, Hubei, China
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    Herein, an end-to-end deep neural network based on iterative adaptive filtering principle is proposed. This network aims to solve the significant image edge blurring caused by the optical structure of simple lenses. A pixel level deblurring filter is proposed, using a single glued lens with a large field of view, to effectively adapt to the spatial changes of blur and restore the blurry features of the input image. The effectiveness of the proposed method is verified through simulation and experiments conducted on a prototype camera system.

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    Yi Huang, Tao Xiong. Deep Iterative Filter Adaptive Network for Simple Lens Imaging System[J]. Laser & Optoelectronics Progress, 2024, 61(10): 1037003

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    Paper Information

    Category: Digital Image Processing

    Received: Sep. 21, 2023

    Accepted: Nov. 1, 2023

    Published Online: Apr. 29, 2024

    The Author Email: Huang Yi (huang2020bit@163.com)

    DOI:10.3788/LOP232176

    CSTR:32186.14.LOP232176

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