Research on Image Super-resolution Reconstruction Based on Loss Extraction Feedback Attention Network

Authors

Hong Sun, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;Follow
Yuxiang Zhang, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;Follow
Yuelan Ling, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;

Abstract

Abstract: Since the first application of convolutional neural network to the field of super-resolution image reconstruction (super-resolution convolutional neural network, SRCNN), a large number of studies have proved that deep learning can improve the effect of image reconstruction. Aiming at the too many parameters in the image super-resolution network and the insufficient utilization of image features resulting in less available high-frequency information, a loss extraction feedback attention network (LEFAN) is proposed to reuse parameters in a circular way and increase the reuse of low-resolution image features to capture more high-frequency information. The loss caused in the reconstruction process is extracted and fused into the final super-resolution image. The experimental results show that the algorithm can obtain a better image reconstruction effect by extracting the potential loss and fusing it into the final super-resolution image on the basis of the multiple utilization of low-resolution images.

Recommended Citation

Sun, Hong; Zhang, Yuxiang; and Ling, Yuelan (2023) "Research on Image Super-resolution Reconstruction Based on Loss Extraction Feedback Attention Network," Journal of System Simulation: Vol. 35: Iss. 2, Article 8.
DOI: 10.16182/j.issn1004731x.joss.21-0986
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss2/8

First Page

308

Revised Date

2021-12-20

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0986

Last Page

317

CLC

TP391

Recommended Citation

Hong Sun, Yuxiang Zhang, Yuelan Ling. Research on Image Super-resolution Reconstruction Based on Loss Extraction Feedback Attention Network[J]. Journal of System Simulation, 2023, 35(2): 308-317.

Corresponding Author

Yuxiang Zhang,1553944402@qq.com

DOI

10.16182/j.issn1004731x.joss.21-0986