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    • Cross-scale Transformer image super-resolution reconstruction with fusion channel attention

    • In the field of image super-resolution, researchers have proposed a cross scale Transformer model that integrates channel attention, effectively improving image reconstruction performance, and verifying the effectiveness of the model on multiple datasets.
    • Vol. 30, Issue 3, Pages: 784-797(2025)   

      Received:28 May 2024

      Revised:28 August 2024

      Published:16 March 2025

    • DOI: 10.11834/jig.240279     

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  • Li Yan, Dong Shihao, Zhang Jiawei, Zhao Ru, Zheng Yuhui. 2025. Cross-scale Transformer image super-resolution reconstruction with fusion channel attention. Journal of Image and Graphics, 30(03):0784-0797 DOI: 10.11834/jig.240279.
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相关作者

Zhao Ru 西北大学新闻传播学院
Bi Xiuping 武汉大学计算机学院国家多媒体软件工程技术研究中心
Chen Shi 武汉大学计算机学院国家多媒体软件工程技术研究中心
Zhang Lefei 武汉大学计算机学院国家多媒体软件工程技术研究中心;湖北珞珈实验室
Shi Zhenghao 西安理工大学计算机科学与工程学院
Wu Chenwei 西安理工大学计算机科学与工程学院
Li Chengjian 西安理工大学计算机科学与工程学院
You Zhenzhen 西安理工大学计算机科学与工程学院

相关机构

School of Journalism and Communication, Northwest University, Xian China
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University
Hubei Luojia Laboratory
School of Computer Science and Engineering, Xi’an University of Technology
Key Laboratory of Aviation Science and Technology for Integrated Circuit and Microsystem Design, Xi’an Xiangteng Micro-Electronic Technology Co., Ltd.
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