• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

The Identification of Blur Extent from Space-variant Motion Blurred Image


Hong-Taek Yang, Joo-Youn Hwang, Doo-Won Paik, Journal of Internet Computing and Services, Vol. 8, No. 6, pp. 169-0, Dec. 2007
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Keywords: motion blur, space variant, autocorrelation, ACF

Abstract

When an image is captured, motion blurs are caused by relative motion between the camera and the scene, In the case of the camera is moving, the extents of the motion blur are spatially variant according to distances from the camera to the objects. Although the camera is fixed, the extents of the motion blur are spatially variant according to various speeds of the moving objects. Unexpected blur effect very often degrades the quality of the image and it needs to be restored, To restore the spatially variant blurred image, each of the point spread function (PSF) should be identified, In this paper, we propose a new method for the identification of blur extent locally from the image in which the spatially variant motion blur is caused. Experiment shows that the proposed method identifies blur extent well.


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Cite this article
[APA Style]
Hong-Taek Yang, Joo-Youn Hwang, & Doo-Won Paik (2007). The Identification of Blur Extent from Space-variant Motion Blurred Image. Journal of Internet Computing and Services, 8(6), 169-0.

[IEEE Style]
H. Yang, J. Hwang and D. Paik, "The Identification of Blur Extent from Space-variant Motion Blurred Image," Journal of Internet Computing and Services, vol. 8, no. 6, pp. 169-0, 2007.

[ACM Style]
Hong-Taek Yang, Joo-Youn Hwang, and Doo-Won Paik. 2007. The Identification of Blur Extent from Space-variant Motion Blurred Image. Journal of Internet Computing and Services, 8, 6, (2007), 169-0.