CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution

TL;DR

The paper introduces CSwin2SR, a novel circular Swin2SR method that significantly improves compressed image super-resolution performance by combining serial and circular modules, outperforming classical approaches.

Contribution

Proposes a new circular Swin2SR architecture that enhances super-resolution recovery in compressed images, outperforming existing Swin2SR methods.

Findings

CSwin2SR outperforms classical Swin2SR in PSNR and SSIM.

Experimental results show significant improvement on DIV2K datasets.

Average PSNR increase of over 0.18 dB and SSIM increase of over 0.01.

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 test and valid datasets, the average increment of PSNR is greater than 0.18 dB and the related average increment of SSIM is greater than 0.01.