Infrared image super-resolution reconstruction based on quaternion and high-order overlapping group sparse total variation

doi:10.3390/s19235139

CQUET-IR > 通信工程学院

	Infrared image super-resolution reconstruction based on quaternion and high-order overlapping group sparse total variation
	Liu, Xingguo1,2,3 ; Chen, Yingpin 4; Peng, Zhenming 1,2; Wu, Juan3
	2019-12-01
发表期刊	SENSORS
ISSN	1424-8220
EISSN	1424-8220
卷号	19 期号:23
摘要	Owing to the limitations of imaging principles and system imaging characteristics, infrared images generally have some shortcomings, such as low resolution, insufficient details, and blurred edges. Therefore, it is of practical significance to improve the quality of infrared images. To make full use of the information on adjacent points, preserve the image structure, and avoid staircase artifacts, this paper proposes a super-resolution reconstruction method for infrared images based on quaternion total variation and high-order overlapping group sparse. The method uses a quaternion total variation method to utilize the correlation between adjacent points to improve image anti-noise ability and reconstruction effect. It uses the sparsity of a higher-order gradient to reconstruct a clear image structure and restore smooth changes. In addition, we performed regularization by using the denoising method, alternating direction method of multipliers, and fast Fourier transform theory to improve the efficiency and robustness of our method. Our experimental results show that this method has excellent performance in objective evaluation and subjective visual effects. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
关键词	Fast Fourier transforms Image analysis Image enhancement Infrared imaging Optical resolving power Signal receivers Alternating direction method of multipliers De-noising High-order Image super-resolution reconstruction Imaging characteristics Overlapping groups Super resolution Super resolution reconstruction
DOI	10.3390/s19235139
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000507606200082
出版者	MDPI AG
EI入藏号	20194807747176
EI分类号	741.1 Light/Optics ; 746 Imaging Techniques ; 921.3 Mathematical Transformations
原始文献类型	Journal article (JA)
出版地	BASEL
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3191
专题	通信工程学院电子与物联网学院
作者单位	1.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu; 611731, China; 2.Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu; 610054, China; 3.Chongqing College of Electronic Engineering, Chongqing; 401331, China; 4.School of Physics and Information Engineering, Minnan Normal University, Zhangzhou; 363000, China
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Liu, Xingguo,Chen, Yingpin,Peng, Zhenming,et al. Infrared image super-resolution reconstruction based on quaternion and high-order overlapping group sparse total variation[J]. SENSORS,2019,19(23).
APA	Liu, Xingguo,Chen, Yingpin,Peng, Zhenming,&Wu, Juan.(2019).Infrared image super-resolution reconstruction based on quaternion and high-order overlapping group sparse total variation.SENSORS,19(23).
MLA	Liu, Xingguo,et al."Infrared image super-resolution reconstruction based on quaternion and high-order overlapping group sparse total variation".SENSORS 19.23(2019).

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Liu-2019-Infrared Im（3110KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载
Liu-2019-Infrared im（3110KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载