Mr. Jiang Du Profile

Jiang Du

at Xidian Univ

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Proceedings Article | 10 April 2018 Paper

DVS image noise removal using K-SVD method

Xuemei Xie, Jiang Du, Guangming Shi, Jianxiu Yang, Wan Liu, Wang Li

Proceedings Volume 10615, 106153U (2018) https://doi.org/10.1117/12.2305260

KEYWORDS: Associative arrays, Image quality, Signal to noise ratio, Cameras, Visualization, Wavelets, Sensors, Image compression, Binary data

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Dynamic Vision Sensor (DVS) is an event-based camera, which captures the changing pixel of vision. It captures the scene in the form of events. In this paper, we use a unique approach to visualize the events DVS captures with "DVS images". DVS is sensitive enough to capture objects moving in high speed, but noise is also captured. In order to improve the quality, we remove the noise of those images. Different from traditional images, the noise and objects in "DVS images" are both composed of distributed points. It is hard to use traditional methods to remove the noise. This paper proposes an efficient approach for "DVS image" noise removal. It is based on K-SVD algorithm and we improve the algorithm according to certain applications. The proposed framework can deal with "DVS images" containing different amount of noise. Experiments show that the proposed method can work well both on a fixed DVS and a moving DVS.

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