DVS image noise removal using K-SVD method

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

doi:10.1117/12.2305260

10 April 2018 DVS image noise removal using K-SVD method

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

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106153U (2018) https://doi.org/10.1117/12.2305260
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

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.

Citation Download Citation

Xuemei Xie, Jiang Du, Guangming Shi, Jianxiu Yang, Wan Liu, and Wang Li "DVS image noise removal using K-SVD method", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153U (10 April 2018); https://doi.org/10.1117/12.2305260

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