App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 10

CP-decomposition-based latent representation network with channel-attention mechanism and randomized PID optimization strategy

Li Ming
Zhao Yang
School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0545

Abstract

To address the problem of missing pixel estimation in digital images, this study developed a sparse image reconstruction network that integrates a channel-attention mechanism with a randomized PID optimization strategy. By incorporating channel attention into the network architecture, the proposed method effectively alleviated color distortion caused by imbalanced missing rates across different channels. The reconstruction process introduced nonlinear activation functions to enhance the network’s feature representation capability, while the parameter update phase employed a randomized PID optimization mechanism based on historical information to improve convergence speed and training stability. Experimental results on three real-world datasets demonstrate that, under a 40% missing-rate setting, the proposed method achieves an average PSNR improvement of approximately 1.5~6 dB and an SSIM improvement of about 0.03~0.15 compared with several representative algorithms. Moreover, on hyperspectral datasets, the proposed approach improves computational efficiency by more than 20 times compared with deep learning–based methods. These results validate the comprehensive advantages of the proposed method in terms of reconstruction accuracy, color fidelity, and computational efficiency.

Foundation Support

基金项目:国家自然科学基金资助项目(12401679)
江苏省高等学校基础科学(自然科学)研究面上项目(23KJB520006)
江苏海洋大学"海州湾"英才创新计划项目(PD2024026)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0545
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 10

Publish History

[2026-07-03] Accepted Paper

Cite This Article

李明, 赵阳. 基于通道注意力机制与随机化PID的稀疏图像重构网络 [J]. 计算机应用研究, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0545. (Li Ming, Zhao Yang. CP-decomposition-based latent representation network with channel-attention mechanism and randomized PID optimization strategy [J]. Application Research of Computers, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0545. )

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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