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    • Image denoising via Swin Transformer V2 and feature fusion U-Net

    • Report: The U-Net network based on Swin Transformer V2 has achieved significant results in image denoising, effectively improving denoising quality and significantly reducing computational resource requirements.
    • Vol. 30, Issue 11, Pages: 3524-3534(2025)   

      Received:18 November 2024

      Revised:2025-03-07

      Accepted:10 March 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.240659     

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  • Li M K, Liu W and Chen W D. 2025. Image denoising via Swin Transformer V2 and feature fusion U-Net. Journal of Image and Graphics, 30(11):3524-3534 DOI: 10.11834/jig.240659.
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相关作者

Zhang Xuefeng 南昌航空大学信息工程学院
Zhang Sheng 南昌航空大学信息工程学院
Zhang Donghui 南昌航空大学信息工程学院
Liu Rui 南昌航空大学信息工程学院
Yang Xiaolong 苏州科技大学电子与信息工程学院
Zhang Zhancheng 苏州科技大学电子与信息工程学院
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相关机构

School of Information Engineering, Nanchang Hangkong University
School of Electronic and Information Engineering, Suzhou University of Science and Technology
Shanghai Jirui Medical Technology Co., Ltd.
Department of Orthopaedics, General Hospital of Central Theater Command
Artificial Intelligence and Computer Science, Jiangnan University
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