Noise removal in extended depth of field microscope images through nonlinear signal processing.
Noise removal in extended depth of field microscope images through nonlinear signal processing.
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DOI：
10.1364/ao.52.0000d1
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发表时间：
2013-04
期刊：
影响因子：
1.9
通讯作者：
Ramzi N. Zahreddine;R. Cormack;C. Cogswell
中科院分区：
文献类型：
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作者：
Ramzi N. Zahreddine;R. Cormack;C. Cogswell
通过计算光学实现的扩展景深(EDF)显微镜允许实时地对活细胞动力学进行3D成像。EDF是通过点扩展函数工程和数字图像处理相结合的方法实现的。线性维纳滤波通常用于图像的去卷积，但它存在高频噪声放大和处理伪影的问题。提出了一种在减小背景噪声的同时扩展景深的非线性处理方案。该非线性滤波器是通过训练算法和迭代优化器产生的。与传统的线性滤波相比，用非线性滤波处理的生物显微镜图像在图像质量和信噪比方面都有了显著的改善。
Extended depth of field (EDF) microscopy, achieved through computational optics, allows for real-time 3D imaging of live cell dynamics. EDF is achieved through a combination of point spread function engineering and digital image processing. A linear Wiener filter has been conventionally used to deconvolve the image, but it suffers from high frequency noise amplification and processing artifacts. A nonlinear processing scheme is proposed which extends the depth of field while minimizing background noise. The nonlinear filter is generated via a training algorithm and an iterative optimizer. Biological microscope images processed with the nonlinear filter show a significant improvement in image quality and signal-to-noise ratio over the conventional linear filter.