光学相干断层扫描中用于图像去模糊的反卷积方法。
Deconvolution methods for image deblurring in optical coherence tomography.
作者信息
Liu Yiheng, Liang Yanmei, Mu Guoguang, Zhu Xiaonong
机构信息
Institute of Modern Optics, Nankai University, Key Laboratory of Opto-electronic Information Science and Technology, Education Ministry of China, Tianjin, China.
出版信息
J Opt Soc Am A Opt Image Sci Vis. 2009 Jan;26(1):72-7. doi: 10.1364/josaa.26.000072.
Two-dimensional deconvolution methods are proposed to deblur optical coherence tomography images. One employs a two-dimensional deconvolution with a matrix given by the product of the longitudinal and transversal point-spread functions as its kernel, which can be taken as the general point-spread function of an optical coherence tomography system. The other uses two one-dimensional deconvolutions with the longitudinal and transversal point-spread functions successively. It is shown that the two deconvolution methods can deblur the experimentally obtained optical coherence tomography images effectively.
提出了二维反卷积方法来对光学相干断层扫描图像进行去模糊处理。一种方法采用以纵向和横向点扩散函数的乘积所给出的矩阵作为核的二维反卷积，该矩阵可被视为光学相干断层扫描系统的通用点扩散函数。另一种方法则依次使用具有纵向和横向点扩散函数的两个一维反卷积。结果表明，这两种反卷积方法能够有效地对实验获得的光学相干断层扫描图像进行去模糊处理。
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