• Laser & Optoelectronics Progress
  • Vol. 59, Issue 22, 2215007 (2022)
Zhijun Yu, Guodong Wang*, and Xinyue Zhang
Author Affiliations
  • College of Computer Science & Technology, Qingdao University, Qingdao 266071, Shandong, China
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    DOI: 10.3788/LOP202259.2215007 Cite this Article Set citation alerts
    Zhijun Yu, Guodong Wang, Xinyue Zhang. Image Deblurring Based on Enhanced Multiscale Feature Network[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215007 Copy Citation Text show less
    Illustration of proposed image deblurring method based on enhanced multi-scale feature network
    Fig. 1. Illustration of proposed image deblurring method based on enhanced multi-scale feature network
    Enhanced multi-scale residual feature extracted module
    Fig. 2. Enhanced multi-scale residual feature extracted module
    Illustration of the reconstruction module and the cross-stage feature fusion module. (a) Reconstruction module; (b) cross-stage feature fusion module
    Fig. 3. Illustration of the reconstruction module and the cross-stage feature fusion module. (a) Reconstruction module; (b) cross-stage feature fusion module
    Cross-stage attention architecture
    Fig. 4. Cross-stage attention architecture
    Visualization of deblurring results on the GoPro dataset
    Fig. 5. Visualization of deblurring results on the GoPro dataset
    Visualization of deblurring results on the HIDE dataset
    Fig. 6. Visualization of deblurring results on the HIDE dataset
    MethodConferenceGoProHIDE
    PSNR /dBSSIMPSNR /dBSSIM
    Method in Ref.[10CVPR201423.540.822
    Method in Ref.[26CVPR201931.200.94029.090.924
    Method in Ref.[27CVPR202132.660.95930.960.939
    Method in Ref.[29ICCV201929.550.93426.160.875
    Method in Ref.[33CVPR201830.260.93428.360.915
    Method in Ref.[38CVPR202029.980.93029.980.930
    Proposed method32.870.96731.030.942
    Table 1. Deblurring results of different methods on GoPro dataset and HIDE dataset
    MethodNumber of MSRBCSACSFFLossPSNR /dBSSIM
    Base model432.870.967
    EMF-block44×31.350.944
    EMF-block44×30.500.931
    EMF-block44×32.530.960
    EMF-block6632.880.967
    EMF-block8832.500.959
    Table 2. Results of ablation experiment