Active Mode Single Pixel Imaging in the Highly Turbid Water Environment Using Compressive Sensing

doi:10.1109/access.2019.2950896

CIOMP OpenIR

	Active Mode Single Pixel Imaging in the Highly Turbid Water Environment Using Compressive Sensing
	Q.Chen; S.K.Chamoli; P.Yin; X.Wang; X.P.Xu
	2019
发表期刊	Ieee Access
ISSN	2169-3536
卷号	7 页码:159390-159401
摘要	Underwater imaging has always been a challenge due to limitations imposed by scattering and absorption nature of the underwater environment. The light would be highly degraded after reflection and propagation in the water medium. Being an advanced imaging technique, Single-pixel Imaging (SPI) is applicable to acquire object spatial information in low light, severe backscattering, and high absorption conditions. Combination of Compressive Sensing (CS) and SPI can overcome the limitation of SPI algorithms such as long data-acquisition time, low reconstruction efficiency and poor reconstruction quality. In the current research, an underwater SPI system based on CS is established to reconstruct our two-dimensional (2D) transparent object. We have systematically investigated the influence of water turbid degree, measurement pattern types and number of measurements on image reconstruction performance. The proposed system is capable to reconstruct the object even when the turbidity reaches up to 80 Nephelometric Turbidity Unit (NTU), where the conventional imaging systems are unusable. Proposed reconstruction method in our research can save more than 70 data acquisition time, compared to SPI algorithm. Our experimental setup has been compared to a conventional imaging system and an underwater ghost imaging system to show its efficiency in obtaining accurate results from turbid water conditions. Furthermore, various algorithm comparison and imaging enhancement studies demonstrates that our algorithm is superior in bringing highly convex optimization at a faster rate with a smaller number of measurements. This work creates new insight into the SPI application and generates a guideline for researchers to improve their applications.
关键词	Imaging,Image reconstruction,Detectors,Modulation,Compressed,Optics
DOI	10.1109/access.2019.2950896
URL	查看原文
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/63456
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Q.Chen,S.K.Chamoli,P.Yin,et al. Active Mode Single Pixel Imaging in the Highly Turbid Water Environment Using Compressive Sensing[J]. Ieee Access,2019,7:159390-159401.
APA	Q.Chen,S.K.Chamoli,P.Yin,X.Wang,&X.P.Xu.(2019).Active Mode Single Pixel Imaging in the Highly Turbid Water Environment Using Compressive Sensing.Ieee Access,7,159390-159401.
MLA	Q.Chen,et al."Active Mode Single Pixel Imaging in the Highly Turbid Water Environment Using Compressive Sensing".Ieee Access 7(2019):159390-159401.

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