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High-Quality Computational Ghost Imaging Using an Optimum Distance Search Method | IEEE Journals & Magazine | IEEE Xplore

High-Quality Computational Ghost Imaging Using an Optimum Distance Search Method

Publisher: IEEE

Simulation result comparisons between CCGI and TVCGI. ({{\rm{a}}_{{i}}}) and ({{\rm{b}}_{{i}}}) are the results of Step 1, whereas ({{\rm{c}}_{{i}}}) and $({{\rm...
Impact Statement:The distance condition plays a significantly important role in ghost imaging (GI). We propose a distance-condition-based method for realizing high-quality computational G...View more

Abstract:

We propose an optimum distance search method for realizing high-quality computational ghost imaging (CGI). The proposed method, which utilizes the advantages of compressi...View more
Impact Statement:
The distance condition plays a significantly important role in ghost imaging (GI). We propose a distance-condition-based method for realizing high-quality computational GI (CGI). The proposed method, which utilizes the advantages of compressive sensing and the CGI technique, is composed of two search steps. Both simulation and experimental results demonstrate that the proposed method can enhance the imaging quality and achieve high-quality CGI.

Abstract:

We propose an optimum distance search method for realizing high-quality computational ghost imaging (CGI). The proposed method, which utilizes the advantages of compressive sensing and the CGI technique, is composed of two search steps. The first step is a coarse search, and the second is a fine search. By using the two-step search, an optimum distance can be obtained. The signal-to-noise ratio (SNR) and the relative mean square error (RMSE) are used as criteria during the search process. Both simulation and experimental results demonstrate that the proposed method can enhance imaging quality, and compressive CGI is more sensitive to distance variations than traditional CGI. The SNR and RMSE are improved when the object is at the optimum distance.
Simulation result comparisons between CCGI and TVCGI. ({{\rm{a}}_{{i}}}) and ({{\rm{b}}_{{i}}}) are the results of Step 1, whereas ({{\rm{c}}_{{i}}}) and $({{\rm...
Published in: IEEE Photonics Journal ( Volume: 8, Issue: 6, December 2016)
Article Sequence Number: 3901009
Date of Publication: 02 December 2016

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Publisher: IEEE

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