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Image dehazing algorithm based on contrast learning and generative adversarial network
更新时间：2026-02-03

    • Image dehazing algorithm based on contrast learning and generative adversarial network

    • “Experts have proposed an image dehazing algorithm based on contrastive learning and recurrent consensus generative adversarial networks to address the issues of image pair dependency and high cost of supervised learning in dehazing algorithms, providing new ideas for improving image dehazing performance.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 10, Pages: 3296-3308(2025)
    • 作者机构：

      1.长安大学 信息工程学院，西安 710064

      2.浪潮数字企业技术有限公司 中央大客户事业部，济南 250101

    • DOI：10.13229/j.cnki.jdxbgxb.20240111    

      CLC： TP391

    • Received：28 January 2024，

      Published：01 October 2025

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  • LUO Xiang-long,WEI Xin-yu,ZHAO Mao-jun,et al.Image dehazing algorithm based on contrast learning and generative adversarial network[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(10):3296-3308. DOI： 10.13229/j.cnki.jdxbgxb.20240111.

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