• Laser & Optoelectronics Progress
  • Vol. 56, Issue 21, 211001 (2019)
Haoze Song and Xiaojun Wu*
Author Affiliations
  • School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP56.211001 Cite this Article Set citation alerts
    Haoze Song, Xiaojun Wu. Deblurring Model of Image Multi-Scale Dense Network[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211001 Copy Citation Text show less
    Comparison of structures of Res block and Dense block
    Fig. 1. Comparison of structures of Res block and Dense block
    Structure of layers
    Fig. 2. Structure of layers
    Structure of network
    Fig. 3. Structure of network
    Comparison of experiment results
    Fig. 4. Comparison of experiment results
    Comparison of experiment results
    Fig. 5. Comparison of experiment results
    MethodRef. [9]Ref. [14]Ref. [19]-wildRef. [19]DNMSDN
    PSNR23.5424.6026.8228.3128.4228.64
    SSIM0.82220.84200.89400.88800.89200.8950
    Table 1. Comparison of experimental results with GOPRO dataset
    MethodRef. [9]Ref. [14]Ref. [19]-wildRef. [19]DNMSDN
    PSNR24.6225.2226.1025.3525.7226.12
    SSIM0.7930.7730.8120.8020.8140.814
    Table 2. Comparison of experimental results with Kohler dataset
    Haoze Song, Xiaojun Wu. Deblurring Model of Image Multi-Scale Dense Network[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211001
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