De-blurring Algorithm for Performance Improvement of Searching a Moving Vehicle on Fisheye CCTV Image 


Vol. 35,  No. 4, pp. 408-414, Apr.  2010


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  Abstract

When we are collecting traffic information on CCTV images, we have to install the detect zone in the image area during pan-tilt system is on duty. An automation of detect zone with pan-tilt system is not easy because of machine error. So the fisheye lens attached camera or convex mirror camera is needed for getting wide area images. In this situation some troubles are happened, that is a decreased system speed or image distortion. This distortion is caused by occlusion of angled ray as like trembled snapshot in digital camera. In this paper, we propose two methods of de-blurring to overcome distortion, the one is image segmentation by nonlinear diffusion equation and the other is deformation for some segmented area. As the results of doing de-blurring methods, the de-blurring image has 15 decibel increased PSNR and the detection rate of collecting traffic information is more than 5% increasing than in distorted images.

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  Cite this article

[IEEE Style]

I. Lee, "De-blurring Algorithm for Performance Improvement of Searching a Moving Vehicle on Fisheye CCTV Image," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 408-414, 2010. DOI: .

[ACM Style]

In-Jung Lee. 2010. De-blurring Algorithm for Performance Improvement of Searching a Moving Vehicle on Fisheye CCTV Image. The Journal of Korean Institute of Communications and Information Sciences, 35, 4, (2010), 408-414. DOI: .

[KICS Style]

In-Jung Lee, "De-blurring Algorithm for Performance Improvement of Searching a Moving Vehicle on Fisheye CCTV Image," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 408-414, 4. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880