Acta Optica Sinica, Volume. 39, Issue 11, 1111001(2019)

Image Defocus Simulation Technology Applied to Evaluation of Focused Morphology Recovery Algorithm

Hao Wei1,2, Haihua Cui1,2、*, Xiaosheng Cheng1,2, and Xiaodi Zhang1,2
Author Affiliations
  • 1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
  • 2Research Center of Digital Design and Manufacturing Engineering Technology of Jiangsu Province, Nanjing, Jiangsu 210016, China
  • show less
    Figures & Tables(13)
    Principle of focused morphology recovery
    Point sampling process
    Algorithm process of transforming single triangle patch to points
    Process of lens imaging
    Imaging plane coincides with image detector plane
    Imaging plane locates in front of image detector plane
    Imaging plane locates in back of image detector plane
    Calculation of simulation images
    Texture image and simulated results. (a) Texture image; (b) simulated image; (c) simulated sequence images
    Two complex models and corresponding simulated images. (a) Model A; (b) model B; (c) simulated images of model A; (d) simulated images of model B
    Grayscale images of focusing evaluation
    Depth maps obtained by different operators. (a) GLV operator; (b) SML operator
    Comparison of root mean square error
    Tools

    Get Citation

    Copy Citation Text

    Hao Wei, Haihua Cui, Xiaosheng Cheng, Xiaodi Zhang. Image Defocus Simulation Technology Applied to Evaluation of Focused Morphology Recovery Algorithm[J]. Acta Optica Sinica, 2019, 39(11): 1111001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Imaging Systems

    Received: Apr. 8, 2019

    Accepted: Jul. 24, 2019

    Published Online: Nov. 6, 2019

    The Author Email: Cui Haihua (cuihh@nuaa.edu.cn)

    DOI:10.3788/AOS201939.1111001

    Topics