| 调整EM算法结合加权小波在COSM中的应用 |
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| 引用本文： | 孙贵凡,何小海,陶青川.调整EM算法结合加权小波在COSM中的应用[J].计算机应用,2008,28(1):205-207. |
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| 作者姓名： | 孙贵凡 何小海 陶青川 |
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| 作者单位： | 四川大学,电子信息学院,成都,610064 |
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| 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。
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| 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 |
| 文章编号： | 1001-9081(2008)01-0205-03 |
| 收稿时间： | 2007-07-25 |
| 修稿时间： | 2007年7月25日 |
Application of regularized EM algorithm with weighted wavelet in COSM |
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| SUN Gui-fan,HE Xiao-hai,TAO Qing-chuan.Application of regularized EM algorithm with weighted wavelet in COSM[J].journal of Computer Applications,2008,28(1):205-207. |
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| Authors: | SUN Gui-fan HE Xiao-hai TAO Qing-chuan |
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| Affiliation: | SUN Gui-fan,HE Xiao-hai,TAO Qing-chuan(College of Electronics , Information,Sichuan University,Chengdu Sichuan 610064,China) |
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| 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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| Keywords: | image restoration wavelet transform regularized EM algorithm Computational Optical Sectioning Microscopy (COSM) |
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