摘要
用基于深度变化成像模型的调整EM算法进行三维显微图像复原,不能更好地复原图像细节,而且耗时长。为提高图像的复原质量,缩短时间,提出把调整EM算法与加权小波相结合的算法。该算法先对加权小波系数进行调整,再用调整EM算法进行迭代复原。实验表明复原效果得到改善,并减少了迭代次数,效率明显提高。
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.
出处
《计算机应用》
CSCD
北大核心
2008年第1期205-207,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(60372079)
关键词
图像复原
小波变换
调整EM算法
计算光学切片显微成像
image restoration
wavelet transform
regularized EM algorithm
Computational Optical Sectioning Microscopy （COSM）
