• Laser & Optoelectronics Progress
  • Vol. 55, Issue 12, 121006 (2018)
Chao Sun*, Junwei Lü**, Jian Gong, Rongchao Qiu, Jianwei Li, and Heng Wu
Author Affiliations
  • College of Coast Defence Arm, Naval Aviation University, Yantai, Shandong 264001, China
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    DOI: 10.3788/LOP55.121006 Cite this Article Set citation alerts
    Chao Sun, Junwei Lü, Jian Gong, Rongchao Qiu, Jianwei Li, Heng Wu. Image Super-Resolution Method Combining Wavelet Transform with Deep Network[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121006 Copy Citation Text show less
    Process of two-dimensional wavelet transform for image I(x, y)
    Fig. 1. Process of two-dimensional wavelet transform for image I(x, y)
    Effects of two-dimensional DWT for butterfly_GT.bmp in Set5
    Fig. 2. Effects of two-dimensional DWT for butterfly_GT.bmp in Set5
    Flowchart of the proposed method
    Fig. 3. Flowchart of the proposed method
    Network architecture of DRRN. (a) Hole architecture; (b) structure of recursive block
    Fig. 4. Network architecture of DRRN. (a) Hole architecture; (b) structure of recursive block
    Structure of modified recursive block. (a) Removing BN layers; (b) decreasing convolution layers
    Fig. 5. Structure of modified recursive block. (a) Removing BN layers; (b) decreasing convolution layers
    Realization schematic of the proposed method
    Fig. 6. Realization schematic of the proposed method
    Whole and local comparisons of “monarch.bmp” in Set14 processed with scale ×3. (a) Real image; (b) Bicubic/29.43 dB; (c) SRCNN/32.39 dB; (d) FSRCNN/32.44 dB; (e) VDSR/34.51 dB; (f) DRRN/34.68 dB; (g) proposed SDN/34.53 dB; (h) proposed CWTDN/34.82 dB
    Fig. 7. Whole and local comparisons of “monarch.bmp” in Set14 processed with scale ×3. (a) Real image; (b) Bicubic/29.43 dB; (c) SRCNN/32.39 dB; (d) FSRCNN/32.44 dB; (e) VDSR/34.51 dB; (f) DRRN/34.68 dB; (g) proposed SDN/34.53 dB; (h) proposed CWTDN/34.82 dB
    Whole and local comparisons of “21077.bmp” in BSD100 processed with scale ×4. (a) Real image; (b) Bicubic/24.88 dB; (c) SRCNN/25.84 dB; (d) FSRCNN/26.13 dB; (e) VDSR/26.57 dB; (f) DRRN/26.75 dB; (g) proposed SDN/26.60 dB; (h) proposed CWTDN/26.91 dB
    Fig. 8. Whole and local comparisons of “21077.bmp” in BSD100 processed with scale ×4. (a) Real image; (b) Bicubic/24.88 dB; (c) SRCNN/25.84 dB; (d) FSRCNN/26.13 dB; (e) VDSR/26.57 dB; (f) DRRN/26.75 dB; (g) proposed SDN/26.60 dB; (h) proposed CWTDN/26.91 dB
    DatasetScaleBicubicSelf-ExSRCNNSCNFSRCNNESPCNVDSRDRRNSDNCWTDN
    ×233.6636.6736.4936.6537.0236.8237.4937.6137.5337.74
    Set5×330.3932.5832.5832.7533.1932.8733.6233.9233.6933.98
    ×428.4230.330.3130.4830.7530.7131.3031.6031.3631.71
    ×230.2332.3532.2232.2932.6732.5833.0033.1433.0133.20
    Set14×327.5429.1329.1629.2829.4629.4029.7329.8529.7029.96
    ×426.0027.3327.4027.4927.6227.5127.9528.1427.9928.28
    ×229.5631.4931.1831.3631.6831.5931.8531.9631.9032.04
    BSD100×327.2128.3028.2928.4128.5228.4928.7728.8628.7928.97
    ×425.9526.8626.8426.9027.0226.9827.2027.3027.2227.38
    Table 1. Mean PSNR of test datasets processed by all methods with different up-scale factorsdB
    Chao Sun, Junwei Lü, Jian Gong, Rongchao Qiu, Jianwei Li, Heng Wu. Image Super-Resolution Method Combining Wavelet Transform with Deep Network[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121006
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