关键词: 图像复原, 加权小波, 维纳滤波, 调整EM算法, 计算光学切片显微成像

Abstract: In the image restoration of Computational Optical Sectioning Microscopy（COSM），using regularized Expectation Maximization（EM） algorithm based on the depth-variant imaging model can not recover the more detail of image，and consume more time.In order to improve the restored results and reduce the time of the image restoration，the combination of the regularized EM algorithm and Wiener filter algorithm is proposed.Firstly，the weighted wavelet algorithm is used to reduce the information out of focus.Then，the Wiener filter algorithm and the regularized EM algorithm is used to restore the serial images in turn.Experiments show that the restoration result is improved and the iteration time is reduced.The efficiency is increased obviously.

Key words: image restoration, weighted wavelet, Wiener filter, regularized EM algorithm, computational optical sectioning microscopy