Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410002(2022)

Automatic Background Blurring Algorithm Based on Image Perception and Segmentation

Chengmin Liu, Wujian Ye*, and Yijun Liu
Author Affiliations
  • School of Information Engineering, Guangdong University of Technology, Guangzhou , Guangdong 510006, China
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    References(20)

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    [2] Xiao J S, Tian H, Zou W T et al. Stereo matching based on convolutional neural network[J]. Acta Optica Sinica, 38, 0815017(2018).

    [3] Li X Y, Yang H J, Yan Z et al. Image background blurring algorithm based on color constancy[J]. Laser & Optoelectronics Progress, 57, 081001(2020).

    [7] Ouyang Z H, Cui G M, Zhao J F et al. A layered image depth of field rendering algorithm using anisotropic filtering[J]. Optical Technique, 44, 469-475(2018).

    [8] Xu S M, Zhu Y H, Jiang Y Z. Small depth-of-field simulation algorithm based on radial gradient blur[J]. Journal of Hanshan Normal University, 41, 11-15(2020).

    [11] Su C R, Chen Y Z. Saliency detection based background defocus algorithm for portrait image[J]. Journal of Chinese Computer Systems, 40, 427-431(2019).

    [16] Chen W F, Fu Z, Yang D W et al. Single-image depth perception in the wild[C], 730-738(2016).

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    Chengmin Liu, Wujian Ye, Yijun Liu. Automatic Background Blurring Algorithm Based on Image Perception and Segmentation[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410002

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    Paper Information

    Category: Image Processing

    Received: Jan. 25, 2021

    Accepted: Mar. 19, 2021

    Published Online: Jan. 25, 2022

    The Author Email: Wujian Ye (yewjian@126.com)

    DOI:10.3788/LOP202259.0410002

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