光学学报, 2018, 38 (10): 1017002, 网络出版: 2019-05-09   

基于分组主成分分析的光学相干图像降斑算法 下载: 953次

Optical Coherent Image Despeckling Algorithm Based on Grouping Principal Component Analysis
作者单位
1 山东师范大学物理与电子科学学院, 山东省医学物理图像处理技术重点实验室, 山东省光学与光子器件重点实验室, 山东 济南 250358
2 济南大学信息与科学工程学院, 山东 济南 250022
引用该论文

方敬, 滕树云, 牛四杰, 李登旺. 基于分组主成分分析的光学相干图像降斑算法[J]. 光学学报, 2018, 38(10): 1017002.

Jing Fang, Shuyun Teng, Sijie Niu, Dengwang Li. Optical Coherent Image Despeckling Algorithm Based on Grouping Principal Component Analysis[J]. Acta Optica Sinica, 2018, 38(10): 1017002.

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方敬, 滕树云, 牛四杰, 李登旺. 基于分组主成分分析的光学相干图像降斑算法[J]. 光学学报, 2018, 38(10): 1017002. Jing Fang, Shuyun Teng, Sijie Niu, Dengwang Li. Optical Coherent Image Despeckling Algorithm Based on Grouping Principal Component Analysis[J]. Acta Optica Sinica, 2018, 38(10): 1017002.

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