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Ruiqiang He1, Wangsen Lan2, Yaojun Hao3

  • 1Department of Mathematics, Xinzhou Normal University, Xinzhou, 034000, China. ruiqianghe@sina.com.

Scientific reports
|November 25, 2024
PubMed
概括

本研究介绍了一种用于图像消噪的交替多余瓦斯斯坦调整 (AMRW) 模型. 通过将残余直方图与高斯噪声对齐,AMRW提高了噪声估计和图像质量,优于现有的方法.