A new double views motion deblurring method

Hanyu Hong; Xia Hua; Wenmo Zhang; Yu Shi

doi:10.1117/12.2205879

14 December 2015 A new double views motion deblurring method

Hanyu Hong, Xia Hua, Wenmo Zhang, Yu Shi

Author Affiliations +

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 98130Z (2015) https://doi.org/10.1117/12.2205879
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

With improving of intelligent and automation in modern industrial production area, the detection and reconstruction of the 3D surface of the product has become an important technology, but the image which acquire on the actual production line has motion blur and this problem will affect the later reconstruction work. In order to solve this problem, a deblurring method which based on double view moving target image is proposed in this paper. We can deduce the relationship of the point spread function(PSF) path between the double view image through the epipolar geometry and the camera model. The experimental results show that deblurring with the PSF path solved by the geometric relationship achieves good results.

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Hanyu Hong, Xia Hua, Wenmo Zhang, and Yu Shi "A new double views motion deblurring method", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 98130Z (14 December 2015); https://doi.org/10.1117/12.2205879

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