SEMI-BLIND IMAGE DE-BLURRING WITH IMU PRIOR

SEMI-BLIND IMAGE DE-BLURRING WITH IMU PRIOR

IEEE Conference on Industrial Electronics and Applications (ICIEA 2022)

http://www.ieeeiciea.org/2022/

Haiyan Shu, Zhengguo Li,

Electrical and Electronic Engineering

19 December 2022

H. Shu and Z. G. Li, "SEMI-BLIND IMAGE DE-BLURRING WITH IMU PRIOR", IEEE Conference on Industrial Electronics and Applications (ICIEA 2022)

Due to fast movement of an autonomous system, motion blur is an issue for images with long-exposures, especially for those captured at dim-lighting conditions. In this paper, a simple semi-blind image de-blurring algorithm is designed by using measurements from an inertial measurement unit (IMU) embedded in the autonomous system. A prior of the blur kernel is first derived from an elegant IMU integration model. The image is then de-blurred by using the prior of the blur kernel with a refinement step to further mitigate the drift caused by the inaccurate IMU measurements. Experimental results show the improvement of the proposed algorithm for image de-blurring.

Publisher Copyright

There was no specific funding for the research done

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https://oar.a-star.edu.sg/communities-collections/articles/18851

978-1-6654-0983-4

Institute for Infocomm Research