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Multi-scale generative adversarial network for image compressed sensing and reconstruction algorithm
更新时间：2025-05-26

    • Multi-scale generative adversarial network for image compressed sensing and reconstruction algorithm

    • “In the field of image compression perception and reconstruction, researchers have proposed a multi-scale generative adversarial network algorithm, which effectively improves the reconstruction quality. Compared with the ISTA Net+method, the reconstruction accuracy has been improved by 2.02-4.09 dB at three sampling rates.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 10, Pages: 2923-2931(2023)
    • 作者机构：

      1.湖北工业大学 太阳能高效利用及储能运行控制湖北省重点实验室，武汉 430068

      2.华中师范大学 教育信息技术学院，武汉 430079

    • DOI：10.13229/j.cnki.jdxbgxb.20211299    

      CLC： TN911.73

    • Received：29 November 2021，

      Published：01 October 2023

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  • ZENG Chun-yan,YAN Kang,WANG Zhi-feng,et al.Multi-scale generative adversarial network for image compressed sensing and reconstruction algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(10):2923-2931. DOI： 10.13229/j.cnki.jdxbgxb.20211299.

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