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《Journal of Data Acquisition and Processing》 2018-02
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Deblurring Techniques Combined with Deconvolution of OCT Retinal Image Based on Expectation Maximization

Yan Fang;Song Shuang;Lian Jian;Ren Yanju;Yin Yilong;Zheng Yuanjie;School of Information Science and Engineering,Shandong Normal University;School of Psychology,Shandong Normal University;School of Computer Science and Technology,Shandong University;  
Optical coherence tomography(OCT)plays a very important role in retinal/choroidal examination.However,image blurring can be introduced into the OCT images during the image acquirement process,resulted from the movement of eye or the out-of-focus effect of the imaging machine.Therefore,OCT image deblurring is of great importance in practice.In this paper,we use an expectation-maximization(EM)based image deconvolution technique for eliminating the blur effect in the OCT images.The proposed technique is designed based on several of the special characteristics of the OCT retinal image and is validated to be able to outperform various state-of-the-art image deblurring techniques as shown by the experimental results in the paper.
【Fund】: 国家自然科学基金(61572300)资助项目;; 山东省自然科学基金(ZR2014FM001)资助项目;; 山东省人民政府泰山学者科研基金(TSHW201502038)资助项目
【CateGory Index】: TP391.41
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