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Research On Super-resolution Ghost Imaging Based On Sparse Measurement

Posted on:2016-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:L Z LiFull Text:PDF
GTID:2308330461973132Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Traditional optical imaging is an imaging technique which utilizes ?rst-order correlation of light ?eld such as the intensity and the phase of light ?eld. Different from traditional optical imaging, Ghost imaging(GI) utilises second-order or high-order correlation of light ?eld and applies coincidence measurement to obtain the information of object. In GI system, the light is divided into two spatially correlated beams: the object beam and the reference beam. The object beam, after illuminating the object, is collected with a bucket detector without spatial resolution. The reference beam, which never interacts with the object, is measured with a pixelated detector with spatial resolution. By correlating the reference beam with the bucket signal, the image of the object is retrieved. GI has many peculiar features such as non-local imaging, lensless imaging and being free from the atmospheric disturbance, which makes it attract great attention.High resolution image is of great importance in imaging system. In conventional imaging, the resolution is restricted by the Rayleigh di?raction limit of optical imaging system. However, some groups demonstrate that ghost imaging with entangled light and thermal light has the ability of breaking through Rayleigh limit of the imaging system and propose super-resolution ghost imaging solutions. Combined signal measurement with image reconstruction, we research on the super-resolution ghost imaging. On the basis of the traditional ghost imaging, we propose a new ghost imaging scheme by introducing compressed sensing and sparse measurement for the ?rst time. This scheme exploits the priori knowledge of optical imaging system and can break through the Rayleigh di?raction limit of the imaging resolution.We conduct an numerical simulation to verify the feasibility of this scheme to break through the di?raction limit, and compare with the traditional ghost imaging. After the simulation, we build a computational ghost imaging experimental setup with a digital micromirror device to verify the e?ectiveness of this scheme. The simulation and experimental results show that the scheme canbreak through the limitation of Rayleigh di?raction of the imaging system and obtain super-resolution images. This scheme can further improve the resolution compared with previous super-resolution ghost imaging solutions. This work enhances the values of ghost imaging and promotes the real application of ghost imaging.
Keywords/Search Tags:ghost imaging, compressed sensing, super resolution, sparse measurement
PDF Full Text Request
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