Infrared and Laser Engineering, Volume. 52, Issue 1, 20220342(2023)

Image sharpness evaluation and variable-step fusion focusing method

Hongliang Pan1, Jinxia Sun2, and Xizhen Han2
Author Affiliations
  • 1Research and Development Department, Changchun Jingyi Photoelectric Technology Co., Ltd., Changchun 130000, China
  • 2Research and Development Department, Suzhou Dongfang Kloto Photoelectric Technology Co., Ltd., Suzhou 215600, China
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    Figures & Tables(7)
    Classification of digital image processing sharpness evaluation algorithm
    Ideal curve of sharpness evaluation function
    Diagram of optical path
    Comparison diagram of image sharpness evaluation curve after normalization
    Edge detection image
    • Table 1. Optical design parameters

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      Table 1. Optical design parameters

      ParameterValue
      Wave band/μm7-15
      Focal distance/mm20-100
      Rear intercept/mm15.41
      Incoming pupil diameter/mm20-100
      F/# 1.5
      Imaging range/m0.5- +∞
      Transfer function> 0.2
      Alignment plane+∞
      Focusing rang/mm−25- +30
    • Table 2. Algorithm comparison results

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      Table 2. Algorithm comparison results

      AlgorithmFocusing time/msFailure rate
      Proposed12422%
      Roberts138112%
      Laplacian141010%
      Sobel13328%
      Prewitt126610%
      Canny112012%
      Log12588%
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    Hongliang Pan, Jinxia Sun, Xizhen Han. Image sharpness evaluation and variable-step fusion focusing method[J]. Infrared and Laser Engineering, 2023, 52(1): 20220342

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    Paper Information

    Category: Optical imaging

    Received: May. 18, 2022

    Accepted: --

    Published Online: Feb. 9, 2023

    The Author Email:

    DOI:10.3788/IRLA20220342

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