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Research on the Improvement of Image Super Resolution Reconstruction Algorithm Based on AWSRN Model Cover

Research on the Improvement of Image Super Resolution Reconstruction Algorithm Based on AWSRN Model

International Journal of Advanced Network, Monitoring and Controls
Volume 10 (2025): Issue 2 (June 2025)
By: Bin Dong,  Jun Yu,  Zhiyi Hu and  Feng Xiong  
Open Access
|Jun 2025

Figures & Tables

Figure 1.

AWSRN Network Architecture Diagram
AWSRN Network Architecture Diagram

Figure 2.

Improved AWSRN network architecture diagram
Improved AWSRN network architecture diagram

Figure 3.

Innovative image super-resolution reconstruction process
Innovative image super-resolution reconstruction process

Figure 4.

Comparison of image reconstruction details
Comparison of image reconstruction details

QUANTITATIVE COMPARISON ON A SCALE FACTOR OF 8

ScaleModelB100 PSNR/SSIMUrban100 PSNR/SSIM
8AWSRN24.80/0.596722.45/0.6174
Improved AWSRN25.32/0.621423.18/0.6438

QUANTITATIVE COMPARISON ON A SCALE FACTOR OF 4

ScaleModelB100 PSNR/SSIMUrban100 PSNR/SSIM
4AWSRN27.64/0.738526.29/0.7930
Improved AWSRN28.47/0.759227.35/0.8169
DOI: https://doi.org/10.2478/ijanmc-2025-0015 | Journal eISSN: 2470-8038
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Language: English
Page range: 43 - 52
Published on: Jun 16, 2025
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Deep Learning,
Image Super-Resolution Reconstruction,
AWSRN Network Architecture,
Algorithm Optimization
Related subjects:
Computer sciences,
Computer sciences, other

© 2025 Bin Dong, Jun Yu, Zhiyi Hu, Feng Xiong, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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