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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 8

Image dehazing algorithm driven by contextual collaboration and hybrid attention mechanism

Zhao Zhiqiang
He Jinliang
School of Software Engineering, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0506

Abstract

Existing dehazing models often struggle with uneven haze distribution across pixels and regions, which leads to inadequate feature extraction and loss of texture and edge details, thereby limiting performance. To address this, this paper proposed HACNet, a novel image dehazing method based on a multi-domain attention mechanism and contextual collaboration. HACNet introduces a hybrid attention fusion algorithm, which leverages the multi-domain attention (MDA) mechanism to integrate local and global features, enabling refined feature processing and adaptive weight allocation. Additionally, this algorithm combines a Context Adaptive Network (CAF) with multi-scale expansion convolution to enhance the model's ability to capture multi-scale features and effectively handle local haze variations. Experimental results show that HACNet outperforms state-of-the-art methods on the RESIDE, NH-Haze, and Dense-Haze datasets. HACNet improves dehazing performance by capturing multi-scale haze features and balancing local and global details. It shows strong potential for real-world applications. The source code is released at https://github.com/ ruicys/HACNet.

Foundation Support

重庆市技术创新与应用发展重大专项(2024TIAD-STX0047)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0506
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-03-20] Accepted Paper

Cite This Article

赵志强, 何进良. 上下文协同与混合注意力机制驱动的图像去雾算法 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0506. (Zhao Zhiqiang, He Jinliang. Image dehazing algorithm driven by contextual collaboration and hybrid attention mechanism [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0506. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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