Laser & Optoelectronics Progress, Volume. 60, Issue 8, 0811027(2023)

Visual Perception Evaluation Method of Stereo Images Based on CNN-SVR

Yuan Xu, Chunyi Chen*, Xiaojuan Hu, Haiyang Yu, and Ye Tian
Author Affiliations
  • School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, Jilin, China
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    Figures & Tables(11)
    Overall framework of the objective evaluation model
    Acquisition process of potential significant discomfort area. (a) Left view; (b) right view; (c) disparity map; (d) planar saliency map; (e) stereoscopic saliency map; (f) salient discomfort region
    Part of the reconstructed images
    Disparity map of potential significant discomfort area
    Regression prediction process of CNN-SVR
    Part images in the public stereo image databases
    Scatter plot of the relationship between model-predicted value and subjective evaluation value
    • Table 1. Performance comparison of different models on the NBU S3D-VCA dataset

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      Table 1. Performance comparison of different models on the NBU S3D-VCA dataset

      ModelPLCCSROCCRMSE
      Model in Ref.[80.81280.76840.4015
      Model in Ref.[280.82400.78700.5580
      Model in Ref.[20.83100.79800.2780
      Model in Ref.[290.83580.81310.4973
      Model in Ref.[30.86680.80340.4732
      Proposed model0.87590.83350.4010
    • Table 2. Performance comparison of different models on the IVY LAB dataset

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      Table 2. Performance comparison of different models on the IVY LAB dataset

      ModelPLCCSROCCRMSE
      Model in Ref.[300.73610.71900.4704
      Model in Ref.[20.82900.83000.2350
      Model in Ref.[310.83580.81310.4973
      Model in Ref.[30.93150.89760.2641
      Proposed model0.94690.90350.2547
    • Table 3. Performance comparison of different regression methods

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      Table 3. Performance comparison of different regression methods

      Regression methodNBU S3D-VCAIVY LAB
      PLCCSROCCRMSEPLCCSROCCRMSE
      CNN0.78860.72840.59730.83360.80370.4375
      SVR0.86170.81620.54280.89450.86720.3560
      CNN-SVR0.87590.83350.40100.94690.90350.2547
    • Table 4. Comparison of different feature extraction methods

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      Table 4. Comparison of different feature extraction methods

      MethodPLCCSROCCRMSE
      Global feature0.72710.63070.5994
      Local feature0.81730.76140.5042
      Proposed method0.87590.83350.4010
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    Yuan Xu, Chunyi Chen, Xiaojuan Hu, Haiyang Yu, Ye Tian. Visual Perception Evaluation Method of Stereo Images Based on CNN-SVR[J]. Laser & Optoelectronics Progress, 2023, 60(8): 0811027

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    Paper Information

    Category: Imaging Systems

    Received: Mar. 19, 2023

    Accepted: Mar. 23, 2023

    Published Online: Apr. 13, 2023

    The Author Email: Chen Chunyi (chenchunyi@hotmail.com)

    DOI:10.3788/LOP230893

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