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Single Image Super-Resolution Through Image Pixel Information Clustering and Generative Adversarial Network

Jianqiang Huang Kai Li Jinfang Jia Xiaoying Wang

大数据挖掘与分析（英文版）2025，Vol.8Issue(5)：1044-1059,16.

大数据挖掘与分析（英文版）2025，Vol.8Issue(5)：1044-1059,16.DOI:10.26599/BDMA.2025.9020007

Single Image Super-Resolution Through Image Pixel Information Clustering and Generative Adversarial Network

Jianqiang Huang ¹Kai Li ²Jinfang Jia ³Xiaoying Wang⁴

作者信息

1. Department of Computer Technology and Applications,and Intelligent Computing and Application Laboratory of Qinghai Province,Qinghai University,Xining 810016,China
2. Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
3. Department of Computer Technology and Applications,Qinghai University,Xining 810016,China
4. School of Computer and Information Science,Qinghai Institute of Technology,Xining 810016,China
折叠

摘要

关键词

deep learning/feature clustering/Generative Adversarial Networks(GANs)/Self-Origanizing Maps(SOM)/single image super-resolution

Key words

deep learning/feature clustering/Generative Adversarial Networks(GANs)/Self-Origanizing Maps(SOM)/single image super-resolution

引用本文复制引用

Jianqiang Huang,Kai Li,Jinfang Jia,Xiaoying Wang..Single Image Super-Resolution Through Image Pixel Information Clustering and Generative Adversarial Network[J].大数据挖掘与分析（英文版）,2025,8(5):1044-1059,16.

基金项目

This work was supported by the Science and Technology Project of Qinghai Province(No.2022-ZJ-701)and the High Performance Computing Center of Qinghai University(China). （No.2022-ZJ-701）

大数据挖掘与分析（英文版）

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