App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 1

Blind image super-resolution via dual-stream invertible decoupling

Zhao Mengyuana
Yi Huaweia
Zhang Xina
Wang Yanfeia
Lan Jieb
a. College of Electronics and Information Engineering, b. College of Science, Liaoning University of Technology, Jinzhou Liaoning 121001, China
DOI: 10.19734/j.issn.1001-3695.2026.03.0130

Abstract

To address the problems of unknown degradation, severe coupling between content features and degradation features, and insufficient reconstruction stability in real-world blind image super-resolution, this study investigated a blind image super-resolution method based on dual-stream invertible decoupling. First, a learnable lifting wavelet layer decomposed low-resolution images in the frequency domain and extracted low-frequency content features and high-frequency degradation-sensitive features. Second, a multi-scale invertible coupling block adaptively predicted affine modulation parameters through a residual parameter generation mechanism, promoted the progressive decoupling of the content stream and the degradation-related stream, and preserved the invertibility of feature mappings. Finally, a degradation closed-loop consistency constraint enhanced the physical consistency between degradation estimation and image reconstruction through a differentiable degradation model. Experimental results on the BSD100 dataset showed that, compared with FIWHN, the method improved PSNR and SSIM by 0.97 dB and 0.041, respectively, under complex mixed degradation conditions. The results indicate that the method effectively alleviates the coupling problem and achieves favorable reconstruction performance and stability.

Foundation Support

国家自然科学基金资助项目(62203201,12371363)
兴辽英才计划项目(XLYC2403125)
辽宁省教育厅高等学校基本科研项目(LJ212410154020)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.03.0130
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 1

Publish History

[2026-08-27] Accepted Paper

Cite This Article

赵梦园, 伊华伟, 张鑫, 等. 基于双流可逆解耦的盲图像超分辨率重建方法 [J]. 计算机应用研究, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0130. (Zhao Mengyuan, Yi Huawei, Zhang Xin, et al. Blind image super-resolution via dual-stream invertible decoupling [J]. Application Research of Computers, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0130. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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