Pivotal Technical Research Of Optical Scanning Holography

Optical holography is a new type of image recording technology.Compared with conventional image recording technologies,holographic technique can record the three-dimensional information in a two-dimensional hologram.Digital holography is digital optical holography and the original optical information acquisition device is replaced with Photo-Diode(PD)and computer.Optical scanning holography is one category of digital holography.Because of its excellent real-time imaging capabilities,it has been widely used in research field.The main research work of this thesis includes:(1)The principle and development of optical and digital holographic technology are first introduced,followed with a short introduction of optical scanning holography(OSH),including the background and the development history of OSH.And we also introduce specific research content of this thesis.(2)The principle of optical scanning holographic technique is introduced,and we use basic mathematical model to deduce optical transfer function(OTF)of optical scanning holographic system.After that,we illustrate the recording and reconstruction of the holographic image.(3)The denoising process of the reconstructed holographic image is introduced.Then,The basic principle and workflow of OTSU method and Markov Chain Monte Carlo(MCMC)sampling algorithm are introduced.We realize these image denoising algorithms by Matlab,in order to achieve initial denoising of holographic image.(4)On the basis of the above preliminary denoising image,the depth denoising processing is performed.First,we use connected component method to remove speckle noise of images.Then,we extract single target of image,after that,we use Snake active contour model extracts the edge of target and removes overlapping noise.At the same time,According to the analysis of the basic theory of Snake model,we research the key steps-determine the initial point position of contour,and find out a new method for locating and sorting of initial contour points.Finally,we complete the simulation of above algorithms.