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 restore the details of image, and consume more time. In order to improve the restored results and reduce the restoration time, the combination of the regularized EM algorithm and weighted wavelet algorithm was proposed. Firstly, revise the wavelet coefficients of the images. Then, use the regularized EM algorithm to do restoration. Experiments show that the restoration result is improved and the iteration time is reduced. The efficiency is increased obviously.
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