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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    References(15)

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    [6] Yuzhen Hong, Guoqiang Ren, Jian Sun. Analysis and improvement on sharpness evaluation function of defocused image. Optics and Precision Engineering, 22, 3401-3408(2014).

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    [8] Guoshen Ding, Yanli Qiao, Weining Yi, et al. Feature extraction and matching of F-SIFT based on spectral image space. Optics and Precision Engineering, 29, 1180-1189(2021).

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    [10] Huaili Zhang, Yingchun Li, Tinghua Zhang. Method of variable speed control for focusing mechanism limited interval based on image definition function. Journal of Applied Optics, 42, 969-974(2021).

    [11] [11] Lin Zhaohua. Study on application of the autofocus technology based on the imaging processing in the theodolite[D]. Changchun: University of Chinese Academy of Sciences (Changchun Institute of Optics, Fine Mechanics Physics, Chinese Academy of Sciences), 2012. (in Chinese)

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    [14] Yicong Yuan, Junming Hao. An algorithm for judging the depth of image defocusing used for infrared automatic focusing. Infrared, 42, 33(2021).

    [15] Helong Wu, Zheng Qiu. Edge detection of SAR image method based on curvelet transformand sobel operator. Ship Electronic Engineering, 41, 101-103, 142(2021).

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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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