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三维显微图像带约束的迭代解卷积复原算法
引用本文:王明,姚晋丽. 三维显微图像带约束的迭代解卷积复原算法[J]. 现代制造工程, 2010, 0(2)
作者姓名:王明  姚晋丽
作者单位:宁波大红鹰学院,宁波,315175
摘    要:阐述显微镜透明厚样本成像原理和三维显微图像带约束的迭代解卷积复原算法。根据显微镜透明厚样本成像原理,对已知三维清晰图像进行退化处理,并且使用带约束的迭代解卷积算法去除退化图像中的散焦信息。试验结果表明,图像散焦信息的干扰得到有效的去除,清晰度和信噪比得到明显的改善,并且该算法可以恢复成像过程中丢失的部分频率成分,实现超分辨率复原。当迭代次数较大时,复原效果优于邻域法和线性方法。

关 键 词:显微镜  厚样本成像  带约束的迭代解卷积算法  超分辨率  图像复原

Three-dimensional microscope image restoration with restrained iteration deconvolution algorithm
WANG Ming,YAO Jin-li. Three-dimensional microscope image restoration with restrained iteration deconvolution algorithm[J]. Modern Manufacturing Engineering, 2010, 0(2)
Authors:WANG Ming  YAO Jin-li
Affiliation:WANG Ming,YAO Jin-li(Ningbo Dahongying University,Ningbo 315175,Zhejiang,China)
Abstract:The principle of microscope for imaging a thick specimen and restrained iteration deconvolution algorithm is introduced.With the microscope imaging principle,three-dimensional clear images are degenerated,and also the out-of-focus information of the degraded images are wiped off with restrained iteration deconvolution algorithm.Experiment results show that the out-of-focus disturbance in 3D microscopic images is suppressed greatly,the definition and the SNR are improved obviously,and a part of frequency com...
Keywords:microscope  thick specimen imaging  restrained iteration deconvolution algorithm  super resolution  image restoration
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