A Novel Stripe Noise Removal Model for Infrared Images

doi:10.3390/s22082971

CIOMP OpenIR

	A Novel Stripe Noise Removal Model for Infrared Images
	M. X. Li; S. K. Nong; T. Nie; C. S. Han; L. Huang and L. X. Qu
	2022
发表期刊	Sensors
卷号	22 期号:8 页码:22
摘要	Infrared images often carry obvious streak noises due to the non-uniformity of the infrared detector and the readout circuit. These streak noises greatly affect the image quality, adding difficulty to subsequent image processing. Compared with current elimination algorithms for infrared stripe noises, our approach fully utilizes the difference between the stripe noise components and the actual information components, takes the gradient sparsity along the stripe direction and the global sparsity of the stripe noises as regular terms, and treats the sparsity of the components across the stripe direction as a fidelity term. On this basis, an adaptive edge-preserving operator (AEPO) based on edge contrast was proposed to protect the image edge and, thus, prevent the loss of edge details. The final solution was obtained by the alternating direction method of multipliers (ADMM). To verify the effectiveness of our approach, many real experiments were carried out to compare it with state-of-the-art methods in two aspects: subjective judgment and objective indices. Experimental results demonstrate the superiority of our approach.
DOI	10.3390/s22082971
URL	查看原文
收录类别	sci ; ei
语种	英语
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66920
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	M. X. Li,S. K. Nong,T. Nie,et al. A Novel Stripe Noise Removal Model for Infrared Images[J]. Sensors,2022,22(8):22.
APA	M. X. Li,S. K. Nong,T. Nie,C. S. Han,&L. Huang and L. X. Qu.(2022).A Novel Stripe Noise Removal Model for Infrared Images.Sensors,22(8),22.
MLA	M. X. Li,et al."A Novel Stripe Noise Removal Model for Infrared Images".Sensors 22.8(2022):22.

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