期刊
OPTICS AND LASERS IN ENGINEERING
卷 134, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.optlaseng.2020.106204
关键词
Digital holographic microscopy; Quantitative phase imaging; Phase image denoising; Adaptive total variation
类别
资金
- National Natural Science Foundation of China [51575437]
- Science Foundation of Shaanxi Province [2014K07-02]
- Fundamental Research Funds for the Central Universities
Digital holographic microscopy is a new type of quantitative phase imaging tool. It offers non-contact and real-time phase contrast imaging and has been used widely; however, the coherent noise degrades the imaging quality seriously. A method of reducing phase coherent noise based on adaptive total variation is proposed in this paper. In the proposed method, an image quality evaluation factor is used to guide the adaptive total variation process. The quality evaluation factor divides the phase image into high quality regions and low quality regions. In high quality regions, the details are preserved; and in low quality regions, the coherent noise is removed. The proposed method can reduce the coherent noise of the phase image and preserve some details well. The experimental results demonstrated the effectiveness of the proposed method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据