Denoising Method Based on Salient Region Recognition for the Spatiotemporal Event Stream

doi:10.3390/s23156655

CIOMP OpenIR

	Denoising Method Based on Salient Region Recognition for the Spatiotemporal Event Stream
	S. Tang, H. Lv, Y. Zhao, Y. Feng, H. Liu and G. Bi
	2023
发表期刊	Sensors
ISSN	14248220
卷号	23 期号:15
摘要	Event cameras are the emerging bio-mimetic sensors with microsecond-level responsiveness in recent years, also known as dynamic vision sensors. Due to the inherent sensitivity of event camera hardware to light sources and interference from various external factors, various types of noises are inevitably present in the camera’s output results. This noise can degrade the camera’s perception of events and the performance of algorithms for processing event streams. Moreover, since the output of event cameras is in the form of address-event representation, efficient denoising methods for traditional frame images are no longer applicable in this case. Most existing denoising methods for event cameras target background activity noise and sometimes remove real events as noise. Furthermore, these methods are ineffective in handling noise generated by high-frequency flickering light sources and changes in diffused light reflection. To address these issues, we propose an event stream denoising method based on salient region recognition in this paper. This method can effectively remove conventional background activity noise as well as irregular noise caused by diffuse reflection and flickering light source changes without significantly losing real events. Additionally, we introduce an evaluation metric that can be used to assess the noise removal efficacy and the preservation of real events for various denoising methods. © 2023 by the authors.
DOI	10.3390/s23156655
URL	查看原文
收录类别	sci ; ei
引用统计	被引频次：1[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/181722/67884
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	S. Tang, H. Lv, Y. Zhao, Y. Feng, H. Liu and G. Bi. Denoising Method Based on Salient Region Recognition for the Spatiotemporal Event Stream[J]. Sensors,2023,23(15).
APA	S. Tang, H. Lv, Y. Zhao, Y. Feng, H. Liu and G. Bi.(2023).Denoising Method Based on Salient Region Recognition for the Spatiotemporal Event Stream.Sensors,23(15).
MLA	S. Tang, H. Lv, Y. Zhao, Y. Feng, H. Liu and G. Bi."Denoising Method Based on Salient Region Recognition for the Spatiotemporal Event Stream".Sensors 23.15(2023).

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