• Infrared and Laser Engineering
  • Vol. 52, Issue 1, 20220342 (2023)
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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    DOI: 10.3788/IRLA20220342 Cite this Article
    Hongliang Pan, Jinxia Sun, Xizhen Han. Image sharpness evaluation and variable-step fusion focusing method[J]. Infrared and Laser Engineering, 2023, 52(1): 20220342 Copy Citation Text show less
    Classification of digital image processing sharpness evaluation algorithm
    Fig. 1. Classification of digital image processing sharpness evaluation algorithm
    Ideal curve of sharpness evaluation function
    Fig. 2. Ideal curve of sharpness evaluation function
    Diagram of optical path
    Fig. 3. Diagram of optical path
    Comparison diagram of image sharpness evaluation curve after normalization
    Fig. 4. Comparison diagram of image sharpness evaluation curve after normalization
    Edge detection image
    Fig. 5. Edge detection image
    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 1. Optical design parameters
    AlgorithmFocusing time/msFailure rate
    Proposed12422%
    Roberts138112%
    Laplacian141010%
    Sobel13328%
    Prewitt126610%
    Canny112012%
    Log12588%
    Table 2. Algorithm comparison results