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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    The imaging of the cross wire target on the CCD is generally affected by the ambient light and the optical path. The cross wire image generated by the focal length of different positions will be blurred and out of focus, and the extraction of the center point of the cross wire target will be seriously affected. The traditional Sobel algorithm ignores the edge information and is easily affected by noise. Therefore, a two-stage fast search auto focusing method with variable-step size is proposed, which improves the image sharpness evaluation function of Sobel operator and combines the coarse and fine focusing. The method first evaluates the image sharpness by using the spatial domain of the image, and then selects the two-stage focusing mode according to the optical design. The first step is coarse adjustment. When the focus position is quickly found, fine adjustment is performed until the focus position is found. Experimental results show that compared with other algorithms, the auto focusing failure rate is 2%, the focusing time is 1242 ms, and the focusing stroke is -25-30 mm. The combination of the image sharpness evaluation function and the two-stage focusing mode through this algorithm has high accuracy and good real-time performance.

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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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