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Research Of The Method Of Motion Deblurred For Integral Imaging System

Posted on:2019-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z W HuFull Text:PDF
GTID:2428330563958519Subject:Software engineering
Abstract/Summary:PDF Full Text Request
In recent years,the development of integral imaging technology has received more and more attention.Compared with the traditional method of two-dimensional display,3D display method is more truthful and accurate on displaying a visual scene.A person will be personally on the scene.Thus,3D technology has attracted a large number of attentions in entertainment and scientific field.There are two key parts in integrated imaging,one is the capture for the 3D scenes and the other is 3D reconstruction.Early integrated imaging technology usually used the camera with a micro lens array,but the resolutions of element images are very low,so the effect of 3D reconstruction is no better.Thus,a method of camera array was developed to solve the problem of low resolution.In practical applications,there are always some interference in capturing.Such as,the target objects are usually moving during the exposure time of the camera array in 3D integral imaging.The images we captured are all blurred and can not be used to 3D reconstruction.Then no useful 3D information can be detected.The existing deblurring methods are most designed for single-image deblurring and just a few for multi-image deblurring.Nevertheless,all of these methods can not be used for our problem because they contain no parallax information.If we address these blurred images one by one,it will take much time and energy.And if you do this,it may undermine the correlation between the points which have the same feature points,which also lead can't to an accurate 3D reconstruction,it still unable to detect the accurate parameters of space information.To address this problem,we proposed a motion deblurred 3D reconstruction method in integral imaging system with parallax information.In this paper,firstly we estimate the reference kernel of the reference image.Then we can compute the relationship among kernels of different perspectives by camera calibration,and the remaining kernels can be computed.Finally,non-blind deconvolution method is used to deblur all the elemental images and 3D reconstruction is accomplished by using these deblurred images.In order to prove the validity of the proposed method,we conducted a set of experiments to verify our conclusions.Experiments show that the proposed method can solve the motion blur problem of the element image in the integral imaging system.
Keywords/Search Tags:Integral Imaging Technology, Multi-view, Parallax Information, Motion Blurring, 3D Reconstruction
PDF Full Text Request
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