• Laser & Optoelectronics Progress
  • Vol. 55, Issue 4, 041015 (2018)
Can Wang1、2, Fan Yang1、2、*, and Jing Li1、2
Author Affiliations
  • 1 School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • 2 Tianjin Key Laboratory of Electronic Materials and Devices, Tianjin 300401, China
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    DOI: 10.3788/LOP55.041015 Cite this Article Set citation alerts
    Can Wang, Fan Yang, Jing Li. Blind Recovery Method of Motion Blurred Image Based on Combining l1/l2 Norm with High Order and Low Order Total Variation[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041015 Copy Citation Text show less
    Customized blurred kernel. (a) K1; (b) K2
    Fig. 1. Customized blurred kernel. (a) K1; (b) K2
    Comparison results of the blind recovery of blurred images for Lena with kernel K1. (a) Original image; (b) blurred image with kernel K1; (c) method of Ref.[9]; (d) method of Ref.[19]; (e) proposed method; (f) blurred kernel estimated by proposed method
    Fig. 2. Comparison results of the blind recovery of blurred images for Lena with kernel K1. (a) Original image; (b) blurred image with kernel K1; (c) method of Ref.[9]; (d) method of Ref.[19]; (e) proposed method; (f) blurred kernel estimated by proposed method
    Comparison results of the blind recovery of blurred images for peppers with kernel K2. (a) Original image; (b) blurred image with kernel K2; (c) method of Ref.[9]; (d) method of Ref.[19]; (e) proposed method; (f) blurred kernel estimated by proposed method
    Fig. 3. Comparison results of the blind recovery of blurred images for peppers with kernel K2. (a) Original image; (b) blurred image with kernel K2; (c) method of Ref.[9]; (d) method of Ref.[19]; (e) proposed method; (f) blurred kernel estimated by proposed method
    Comparison results of the blind recovery of blurred images for Roma. (a) Blurred image; (b) method of Ref.[9]; (c) method of Ref.[19]; (d) proposed method
    Fig. 4. Comparison results of the blind recovery of blurred images for Roma. (a) Blurred image; (b) method of Ref.[9]; (c) method of Ref.[19]; (d) proposed method
    Comparison results of the blind recovery of blurred images for fishes. (a) Blurred image; (b) method of Ref.[9]; (c) method of Ref.[19]; (d) proposed method
    Fig. 5. Comparison results of the blind recovery of blurred images for fishes. (a) Blurred image; (b) method of Ref.[9]; (c) method of Ref.[19]; (d) proposed method
    BlurimageBlurkernelMethodof Ref.[9]Methodof Ref.[19]Proposedmethod
    LenaK126.3627.5428.83
    K226.3125.2426.84
    PeppersK127.6326.8528.33
    K228.3927.9229.04
    Table 1. PSNR comparison with different methodsdB
    BlurimageBlurkernelMethodof Ref.[9]Methodof Ref.[19]Proposedmethod
    LenaK10.71550.88870.9372
    K20.82960.74260.9128
    PeppersK10.91670.87010.9434
    K20.90420.88640.9544
    Table 2. SSIM comparison with different methods
    BlurredimageMethod ofRef.[9]Method ofRef.[19]Proposedmethod
    Roma5.326.637.03
    Fishes6.465.976.98
    Table 3. Comentropy comparison with different methods
    Can Wang, Fan Yang, Jing Li. Blind Recovery Method of Motion Blurred Image Based on Combining l1/l2 Norm with High Order and Low Order Total Variation[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041015
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