In the process of obtaining3D images by Computational Optical Sectioning Microscopy method ( COSM), every slice image is disturbed by other defocusing messages and the3D images are blurred.
在计算光学切片显微技术成像中,每幅切片图像都要受到其他离焦层信息的干扰,引起图像模糊。
in the paper an algorithm for maximum-likelihood image restoration based on the expectation maximization ( em) algorithm using the depth-variant imaging model in three-dimensional optical sectioning microscopy is proposed.
该文提出了一种基于EM算法的最大似然图像复原算法,此算法是基于三维显微光学切片中成像随深度变化的模型实现的。
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