학술논문

CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution
Document Type
Conference
Source
2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) Artificial Intelligence Circuits and Systems (AICAS), 2023 IEEE 5th International Conference on. :1-5 Jun, 2023
Subject
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Image coding
Negative feedback
Circuits and systems
Superresolution
Hardware
Artificial intelligence
Image reconstruction
closed-loop
negative feedback
Swin2SR
CSwin2SR
compressed image
super-resolution
Language
ISSN
2834-9857
Abstract
Closed-loop negative feedback mechanism is extensively utilized in automatic control systems and brings about extraordinary dynamic and static performance. In order to further improve the reconstruction capability of current methods of compressed image super-resolution, a circular Swin2SR (CSwin2SR) approach is proposed. The CSwin2SR contains a serial Swin2SR for initial super-resolution reestablishment and circular Swin2SR for enhanced super-resolution reestablishment. Simulated experimental results show that the proposed CSwin2SR dramatically outperforms the classical Swin2SR in the capacity of super-resolution recovery. On DIV2K valid dataset, the average increment of PSNR is greater than 0.18 dB and the related average increment of SSIM is greater than 0.004.