Ghost Imaging by a Proportional Parameter to Filter Bucket Data

Most ghost imaging reconstruction algorithms require a large measurement time to retrieve the object information clearly. But not all groups of data play a positive role in reconstructing the object image. Abandoning some redundant data can not only enhance the quality of reconstruction images but a...

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Main Authors:	Min Tao, Xiaobin Gong, Jian Guan, Junfeng Song, Zhixin Song, Xueyan Li, Shuxu Guo, Jian Chen, Siyao Yu, Fengli Gao
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Applied Sciences
Subjects:	imaging processing ghost imaging photon statistics threshold selection
Online Access:	https://www.mdpi.com/2076-3417/11/1/227

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spelling	doaj-1a2efdd49b3f45f2aa5ec836b58d5e5f2020-12-30T00:00:27ZengMDPI AGApplied Sciences2076-34172021-12-011122722710.3390/app11010227Ghost Imaging by a Proportional Parameter to Filter Bucket DataMin Tao0Xiaobin Gong1Jian Guan2Junfeng Song3Zhixin Song4Xueyan Li5Shuxu Guo6Jian Chen7Siyao Yu8Fengli Gao9State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaState Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaState Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaState Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, ChinaState Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaState Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaShanhe-Gensheng Technology Co., Ltd. of Jilin Province, Jilin 132011, ChinaState Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaState Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, ChinaMost ghost imaging reconstruction algorithms require a large measurement time to retrieve the object information clearly. But not all groups of data play a positive role in reconstructing the object image. Abandoning some redundant data can not only enhance the quality of reconstruction images but also speed up the computation process. Here, we propose a method to screen the data using two threshold values set by a proportional parameter during the sampling process. Experimental results show that the reserved data after screening can be used in several reconstruction algorithms, and the reconstruction quality is enhanced or at least remains at the same level. Meanwhile, the computing time costs are greatly reduced, and so is the data storage.https://www.mdpi.com/2076-3417/11/1/227imaging processingghost imagingphoton statisticsthreshold selection
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Min Tao Xiaobin Gong Jian Guan Junfeng Song Zhixin Song Xueyan Li Shuxu Guo Jian Chen Siyao Yu Fengli Gao
spellingShingle	Min Tao Xiaobin Gong Jian Guan Junfeng Song Zhixin Song Xueyan Li Shuxu Guo Jian Chen Siyao Yu Fengli Gao Ghost Imaging by a Proportional Parameter to Filter Bucket Data Applied Sciences imaging processing ghost imaging photon statistics threshold selection
author_facet	Min Tao Xiaobin Gong Jian Guan Junfeng Song Zhixin Song Xueyan Li Shuxu Guo Jian Chen Siyao Yu Fengli Gao
author_sort	Min Tao
title	Ghost Imaging by a Proportional Parameter to Filter Bucket Data
title_short	Ghost Imaging by a Proportional Parameter to Filter Bucket Data
title_full	Ghost Imaging by a Proportional Parameter to Filter Bucket Data
title_fullStr	Ghost Imaging by a Proportional Parameter to Filter Bucket Data
title_full_unstemmed	Ghost Imaging by a Proportional Parameter to Filter Bucket Data
title_sort	ghost imaging by a proportional parameter to filter bucket data
publisher	MDPI AG
series	Applied Sciences
issn	2076-3417
publishDate	2021-12-01
description	Most ghost imaging reconstruction algorithms require a large measurement time to retrieve the object information clearly. But not all groups of data play a positive role in reconstructing the object image. Abandoning some redundant data can not only enhance the quality of reconstruction images but also speed up the computation process. Here, we propose a method to screen the data using two threshold values set by a proportional parameter during the sampling process. Experimental results show that the reserved data after screening can be used in several reconstruction algorithms, and the reconstruction quality is enhanced or at least remains at the same level. Meanwhile, the computing time costs are greatly reduced, and so is the data storage.
topic	imaging processing ghost imaging photon statistics threshold selection
url	https://www.mdpi.com/2076-3417/11/1/227
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Ghost Imaging by a Proportional Parameter to Filter Bucket Data

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