Modeling and image quality enhancement for dynamic compressive imaging system

Traditional single-pixel imaging systems are aimed mainly at relatively static or slowly changing targets. When there is relative motion between the imaging system and the target, sizable deviations between the measurement values and the real values can occur and result in poor image quality of the...

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Autores principales:	Changjun Zha, Qian Zhang, Huimin Duan
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Applied mathematics. Quantitative methods T57-57.97 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/1ed52e93b6654b659bef6f497b32f82c
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spelling	oai:doaj.org-article:1ed52e93b6654b659bef6f497b32f82c2021-11-22T18:33:19ZModeling and image quality enhancement for dynamic compressive imaging system1748-302610.1177/17483026211008098https://doaj.org/article/1ed52e93b6654b659bef6f497b32f82c2021-04-01T00:00:00Zhttps://doi.org/10.1177/17483026211008098https://doaj.org/toc/1748-3026Traditional single-pixel imaging systems are aimed mainly at relatively static or slowly changing targets. When there is relative motion between the imaging system and the target, sizable deviations between the measurement values and the real values can occur and result in poor image quality of the reconstructed target. To solve this problem, a novel dynamic compressive imaging system is proposed. In this system, a single-column digital micro-mirror device is used to modulate the target image, and the compressive measurement values are obtained for each column of the image. Based on analysis of the measurement values, a new recovery model of dynamic compressive imaging is given. Differing from traditional reconstruction results, the measurement values of any column of vectors in the target image can be used to reconstruct the vectors of two adjacent columns at the same time. Contingent upon characteristics of the results, a method of image quality enhancement based on an overlapping average algorithm is proposed. Simulation experiments and analysis show that the proposed dynamic compressive imaging can effectively reconstruct the target image; and that when the moving speed of the system changes within a certain range, the system reconstructs a better original image. The system overcomes the impact of dynamically changing speeds, and affords significantly better performance than traditional compressive imaging.Changjun ZhaQian ZhangHuimin DuanSAGE PublishingarticleApplied mathematics. Quantitative methodsT57-57.97MathematicsQA1-939ENJournal of Algorithms & Computational Technology, Vol 15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Applied mathematics. Quantitative methods T57-57.97 Mathematics QA1-939
spellingShingle	Applied mathematics. Quantitative methods T57-57.97 Mathematics QA1-939 Changjun Zha* Qian Zhang* Huimin Duan Modeling and image quality enhancement for dynamic compressive imaging system
description	Traditional single-pixel imaging systems are aimed mainly at relatively static or slowly changing targets. When there is relative motion between the imaging system and the target, sizable deviations between the measurement values and the real values can occur and result in poor image quality of the reconstructed target. To solve this problem, a novel dynamic compressive imaging system is proposed. In this system, a single-column digital micro-mirror device is used to modulate the target image, and the compressive measurement values are obtained for each column of the image. Based on analysis of the measurement values, a new recovery model of dynamic compressive imaging is given. Differing from traditional reconstruction results, the measurement values of any column of vectors in the target image can be used to reconstruct the vectors of two adjacent columns at the same time. Contingent upon characteristics of the results, a method of image quality enhancement based on an overlapping average algorithm is proposed. Simulation experiments and analysis show that the proposed dynamic compressive imaging can effectively reconstruct the target image; and that when the moving speed of the system changes within a certain range, the system reconstructs a better original image. The system overcomes the impact of dynamically changing speeds, and affords significantly better performance than traditional compressive imaging.
format	article
author	Changjun Zha* Qian Zhang* Huimin Duan
author_facet	Changjun Zha* Qian Zhang* Huimin Duan
author_sort	Changjun Zha*
title	Modeling and image quality enhancement for dynamic compressive imaging system
title_short	Modeling and image quality enhancement for dynamic compressive imaging system
title_full	Modeling and image quality enhancement for dynamic compressive imaging system
title_fullStr	Modeling and image quality enhancement for dynamic compressive imaging system
title_full_unstemmed	Modeling and image quality enhancement for dynamic compressive imaging system
title_sort	modeling and image quality enhancement for dynamic compressive imaging system
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/1ed52e93b6654b659bef6f497b32f82c
work_keys_str_mv	AT changjunzha modelingandimagequalityenhancementfordynamiccompressiveimagingsystem AT qianzhang modelingandimagequalityenhancementfordynamiccompressiveimagingsystem AT huiminduan modelingandimagequalityenhancementfordynamiccompressiveimagingsystem
_version_	1718417424369319936

Modeling and image quality enhancement for dynamic compressive imaging system

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