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Super-resolution Image Reconstruction Based on Double Regression Network Model Cover

Super-resolution Image Reconstruction Based on Double Regression Network Model

By: Jieyi Lv and  Zhongsheng Wang  
Open Access
|May 2023

Figures & Tables

Figure 1.

Composition of double regression model
Composition of double regression model

Figure 2.

Super resolution reconstruction process
Super resolution reconstruction process

Figure 3.

Recursive learning
Recursive learning

Figure 4.

Double magnification reconstruction comparison of each algorithm
Double magnification reconstruction comparison of each algorithm

Figure 5.

Comparison of four times magnification reconstruction of each algorithm
Comparison of four times magnification reconstruction of each algorithm

Comparison of the results of PSNR reconstruction by two times of each algorithm

DatasetsFSRCNNSRGANESRGANOurs
Set532.4033.1933.4634.68
Set1429.5229.5629.4730.56
Bsd10026.7429.4729.7829.78

Comparison of SSIM results of four times reconstruction of each algorithm

DatasetsFSRCNNSRGANESRGANOurs
Set50.86570.86570.85690.6895
Set140.75640.73690.86970.7698
Bsd1000.71560.66890.67830.6856
Language: English
Page range: 82 - 88
Published on: May 26, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Jieyi Lv, Zhongsheng Wang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.