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    • Self-supervised coal mine image denoising with adaptive masking

    • In the field of coal mine image processing, experts have proposed a mine image self supervised denoising algorithm based on adaptive masks, which effectively removes noise and preserves image details, demonstrating superior robustness and wide applicability.
    • Vol. 30, Issue 12, Pages: 3884-3899(2025)   

      Received:18 November 2024

      Revised:2025-04-18

      Accepted:29 April 2025

      Published:16 December 2025

    • DOI: 10.11834/jig.240624     

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  • Zhang Yaru, Liu Jiantao, Xu Guoqing, Hao Dingyi. 2025. Self-supervised coal mine image denoising with adaptive masking. Journal of Image and Graphics, 30(12):3884-3899 DOI: 10.11834/jig.240624.
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相关作者

Zheng Hu 北方民族大学计算机科学与工程学院
Bai Jing 北方民族大学计算机科学与工程学院;国家民委图像图形智能处理实验室
Yan Hao 北方民族大学计算机科学与工程学院
Zhang Yijun 中移(苏州)软件技术有限公司平台产品部
Huang Tiejun 北京大学计算机学院
Yu Zhaofei 北京大学计算机学院
Qi Ji 中移(苏州)软件技术有限公司平台产品部
Zhou Huajian 中移(苏州)软件技术有限公司平台产品部

相关机构

School of Computer Science and Engineering, North Minzu University
The Key Laboratory of Images and Graphics Intelligent Processing of State Ethnic Affairs Commission
Platform Product Department,China Mobile(Suzhou) Software Technology Co., Ltd.
School of Computer Science, Peking University
College of Electrical and Information Engineering, Hunan University
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