Event Density Based Denoising Method for Dynamic Vision Sensor

doi:10.3390/app10062024

CIOMP OpenIR

	Event Density Based Denoising Method for Dynamic Vision Sensor
	Y. Feng,H. Y. Lv,H. L. Liu,Y. S. Zhang,Y. Y. Xiao and C. S. Han
	2020
发表期刊	Applied Sciences-Basel
卷号	10 期号:6 页码:18
摘要	Dynamic vision sensor (DVS) is a new type of image sensor, which has application prospects in the fields of automobiles and robots. Dynamic vision sensors are very different from traditional image sensors in terms of pixel principle and output data. Background activity (BA) in the data will affect image quality, but there is currently no unified indicator to evaluate the image quality of event streams. This paper proposes a method to eliminate background activity, and proposes a method and performance index for evaluating filter performance: noise in real (NIR) and real in noise (RIN). The lower the value, the better the filter. This evaluation method does not require fixed pattern generation equipment, and can also evaluate filter performance using natural images. Through comparative experiments of the three filters, the comprehensive performance of the method in this paper is optimal. This method reduces the bandwidth required for DVS data transmission, reduces the computational cost of target extraction, and provides the possibility for the application of DVS in more fields.
DOI	10.3390/app10062024
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收录类别	SCI
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/181722/64504
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	Y. Feng,H. Y. Lv,H. L. Liu,Y. S. Zhang,Y. Y. Xiao and C. S. Han. Event Density Based Denoising Method for Dynamic Vision Sensor[J]. Applied Sciences-Basel,2020,10(6):18.
APA	Y. Feng,H. Y. Lv,H. L. Liu,Y. S. Zhang,Y. Y. Xiao and C. S. Han.(2020).Event Density Based Denoising Method for Dynamic Vision Sensor.Applied Sciences-Basel,10(6),18.
MLA	Y. Feng,H. Y. Lv,H. L. Liu,Y. S. Zhang,Y. Y. Xiao and C. S. Han."Event Density Based Denoising Method for Dynamic Vision Sensor".Applied Sciences-Basel 10.6(2020):18.

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