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Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0637011(2025)

Image Super-Resolution Reconstruction with Spatial/High-Frequency Dual-Domain Feature Saliency

Yue Hou*, Ziwei Hao, Zhihao Zhang, and Jie Yin
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730000, Gansu , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (21)
    References (23)
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    Figures & Tables(10)
    Overall network framework of STDHF

    Fig. 1. Overall network framework of STDHF

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    FDR structure

    Fig. 2. FDR structure

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    Structure of the SBDF module

    Fig. 3. Structure of the SBDF module

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    Comparison with the visualization results of other algorithms at ×2 magnification

    Fig. 4. Comparison with the visualization results of other algorithms at ×2 magnification

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    Comparison with the visualization results of other algorithms at ×4 magnification

    Fig. 5. Comparison with the visualization results of other algorithms at ×4 magnification

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    Comparison of feature concerns between STDHF model and BSRN model

    Fig. 6. Comparison of feature concerns between STDHF model and BSRN model

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    • Table 1. Performance of different algorithms on each dataset

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      Table 1. Performance of different algorithms on each dataset

      MethodScalePSNR /dB（SSIM）
      Set5Set14B100Urban100
      SRCNN×236.66（0.9542）32.43（0.9067）31.36（0.8876）29.48（0.8936）
      IMDN38.00（0.9605）33.63（0.9177）32.19（0.8996）32.17（0.8283）
      CARN37.76（0.9590）33.52（0.9166）32.09（0.8978）31.92（0.9256）
      MRFN37.98（0.9611）33.41（0.9159）32.14（0.8997）31.45（0.9221）
      EDSR37.99（0.9604）33.57（0.9175）32.16（0.8994）31.98（0.9272）
      BSRN38.10（0.9610）33.74（0.9193）32.24（0.9006）32.34（0.9303）
      SMSR37.80（0.9591）33.56（0.9175）32.12（0.8994）32.21（0.9292）
      VapSR38.08（0.9612）33.77（0.9195）32.27（0.9011）32.45（0.9316）
      SwinIR-light38.14（0.9611）33.86（0.9206）32.31（0.9012）32.76（0.9340）
      STDHF38.16（0.9612）33.87（0.9210）32.33（0.9013）32.78（0.9340）
      SRCNN×332.75（0.9090）29.28（0.8209）28.41（0.7863）26.24（0.7989）
      IMDN34.36（0.9270）30.32（0.8417）29.09（0.8046）28.17（0.8519）
      CARN34.29（0.9255）30.29（0.8407）29.06（0.8034）28.06（0.8493）
      MRFN34.21（0.9267）30.03（0.8363）28.99（0.8029）27.53（0.8589）
      EDSR34.37（0.9270）30.28（0.8417）29.09（0.8052）28.15（0.8527）
      BSRN34.46（0.9277）30.47（0.8449）29.18（0.8068）28.39（0.8567）
      SMSR34.40（0.9270）30.33（0.8412）29.10（0.8050）28.25（0.8536）
      VapSR34.52（0.9284）30.53（0.8452）29.19（0.8077）28.43（0.8583）
      SwinIR-light34.62（0.9289）30.54（0.8463）29.20（0.8082）28.66（0.8624）
      STDHF34.62（0.9290）30.55（0.8466）29.24（0.8088）28.66（0.8620）
      SRCNN×430.48（0.8628）27.49（0.7503）26.90（0.7101）24.52（0.7221）
      IMDN32.21（0.8948）28.58（0.7811）27.56（0.7353）26.04（0.7838）
      CARN32.13（0.8937）28.60（0.7806）27.58（0.7349）26.07（0.7837）
      MRFN31.90（0.8916）28.31（0.7746）27.43（0.7309）25.46（0.7654）
      EDSR32.09（0.8938）28.58（0.7813）27.57（0.7357）26.04（0.7849）
      BSRN32.35（0.8966）28.73（0.7848）27.65（0.7387）26.27（0.7908）
      SMSR32.12（0.8932）28.55（0.7808）27.55（0.7351）26.11（0.7868）
      VapSR32.38（0.8978）28.77/0.7852）27.68（0.7398）26.35（0.7941）
      SwinIR-light32.44（0.8976）28.77（0.7858）27.69（0.7406）26.47（0.7980）
      STDHF32.45（0.8976）28.78（0.7858）27.71（0.7410）26.48（0.7981）

    • Table 2. Evaluation metrics of various lightweight SISR models at scale factor of ×2

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      Table 2. Evaluation metrics of various lightweight SISR models at scale factor of ×2

      MethodParamsPSNR /dB （SSIM）
      Set5Set14B100Urban100
      Swin-light0.93×10638.14（0.9611）33.86（0.9206）32.31（0.9012）32.76（0.9340）
      ESRT677×10338.03（0.9600）33.75（0.9184）32.25（0.9005）32.58（0.9318）
      NGswin0.99×10638.05（0.9610）33.63（0.9177）32.19（0.8996）32.17（0.8283）
      CARN1592×10337.76（0.9590）33.52（0.9166）32.09（0.8978）31.92（0.9256）
      EDSR13.7×10637.99（0.9604）33.57（0.9175）32.16（0.8994）31.98（0.9272）
      BSRN0.32×10638.10（0.9610）33.74（0.9193）32.24（0.9006）32.34（0.9303）
      SMSR985×10337.80（0.9591）33.56（0.9175）32.12（0.8994）32.21（0.9292）
      VapSR431×10338.08（0.9612）33.77（0.9195）32.27（0.9011）32.45（0.9316）
      SwinIR11.5×10638.35（0.9620）34.14（0.9206）32.44（0.9012）33.40（0.9340）
      LatticeNet756×10338.15（0.9610）33.78（0.9193）32.25（0.9005）32.43（0.9302）
      STDHF0.70×10638.16（0.9610）33.81（0.9120）32.33（0.9013）32.78（0.9340）

    • Table 3. Influence of BSConv on the performance of the model in STDHF

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      Table 3. Influence of BSConv on the performance of the model in STDHF

      MethodParams /103Flops /109PSNR /dB（SSIM）
      Set5Set14B100Urban100
      Basic43323.932.04（0.9611）28.52（0.7799）27.53（0.7344）25.92（0.7810）
      Basic-B1236.931.95（0.8910）28.40（0.9184）27.45（0.7318）25.64（0.7726）

    • Table 4. Influence of different components in STDHF on model performance

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      Table 4. Influence of different components in STDHF on model performance

      MethodPSNR /dB（SSIM）
      Set5Set14B100Urban100
      Basic38.10（0.9610）33.74（0.9193）32.24（0.9006）32.34（0.9303）
      Basic-M38.15（0.9611）33.79（0.9197）32.27（0.9011）32.71（0.9337）
      Basic-S38.16（0.9612）33.81（0.9120）32.30（0.9013）32.74（0.9340）
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    Yue Hou, Ziwei Hao, Zhihao Zhang, Jie Yin. Image Super-Resolution Reconstruction with Spatial/High-Frequency Dual-Domain Feature Saliency[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0637011

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    Paper Information

    Category: Digital Image Processing

    Received: Jul. 1, 2024

    Accepted: Aug. 29, 2024

    Published Online: Mar. 10, 2025

    The Author Email:

    DOI:10.3788/LOP241598

    CSTR:32186.14.LOP241598

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology