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

Lee, In-Jung (호서대학교 교양학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.4C, 2010 , pp. 408-414 More about this Journal
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.
Keywords
De-Blurring; Deformation; Fisheye Image; Nonlinear Diffusion Equation;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 S. Namkoong, H. Tanikella, B. Smith, "Design and Field Evaluation of a System Integrating CCTV Surveillance with Video Image Vehicle Detection Systems (VIVDS)," Paper submitted for presentation at the 2005 Annual Meeting of the Transportation Research Board and publication in the Transportation Research Record, 2004. 7.
2 Pack, M.L., "Automatic Camera Repositioning Techniques for Integrating CCTV Traffic Surveillance Systems With Video Image Vehicle Detection Systems," Masters Thesis in Engineering, University of Virginia, Charlottesville, VA, 2002.
3 In J. Lee, Joon Y. Min, "Development of an Algorithm for Automatic Installation of Detection Area in CCTV Image on Highways," Proc. of the International Conference on Image Science, Systems and Technology, Jun., 26-29, 2000, pp.381-386.
4 Kenichi W. et. al. "A Study on Sensing System for Running Road Surface Conditions in ITS," Proceedings of 10th World Congress on Intelligent Transport Systems, Madrid, Spain, Nov., 2003.
5 I. pollak, A. S. Willsky, "Image Segmentation and Edge Enhancement with Stabilized Inverse Diffusion Equations." IEEE Transactions on Image Processing, Vol.9, No.2, 256-266, 2000.   DOI   ScienceOn
6 B. B. Kimia, K. Siddiqi, "Geometric Heat Equation and Nonlinear Diffusion of Shapes and Images. Computer Vision and Image Understanding." Vol.64, No.3, pp.305-322, 1996.   DOI   ScienceOn
7 K. Yamazawa, N. Yokoya, " Detecting Moving Objects from Omnidirectional Dynamic Images Based on Adaptive background Subtraction." ICIP2003, pp.210-215, 2003.
8 H. Huang, H. Hong, "Estimation of Omnidirectional Camera Model with One Parametric Projection," LNCIS 345, pp.827-833, 2006.
9 In-Jung Lee, "Numerical Solution for Nonlinear Klein-Gordon Equation by Using Lagrange Polynomial Interpolation with a Trick," The KIPS Transactions Part A, Vol.11-A No.7, 2004, pp.571-576.   과학기술학회마을
10 In J. Lee, Seong J. Namkoong, Joon Y. Min, "Expanding Degree of View of CCTV Camera Video Image and De-blurring with Nonlinear Equation". Proceedings of 10th World Congress on Intelligent Transport Systems Oct., 9-12, 2007, pp.485-489.
11 Yves Truginy, "Product approximation for nonlinear Klein Gordon equations," IMA journal of Numerical Analysis. 9, 449-462, 1990.
12 N. Moayeri, K. Konstantinides, "An Algorithm for Blind Restoration of Blurred and Noisy Images," Technical Report HPL-96-102, Hewlett- Packard, 1996.
13 Dupont, T. L, "Estimates for Galerkin methods for second-order hyperbolic equations," SIAM J.Numer.Anal. 10, 392-410, 1973.
14 Claudio Canuto M.Yousuff Hussaini Alfio Quarteroni Thomas A. Zang, "Spectral Methods in Fluid Dynamics," Springer_Verlag, 1988.
15 A. Marquina, S. Osher, "Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal," UCLA CAM Report 99-5, Department of Mathematics, University of California, Los Angeles, 1999.
16 Sang H. Jung, "A Study on the Graphic Compensation of Warping Image Induced to Wide Angle Lens," Masters Thesis in Industry and Engineering, Seoul National University of Technology, 2003.
17 T.F. Chan, G.H. Golub, P. Mulet, "A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration," SIAM Journal on Scientific Computing, Vol.20, No.6, 1999, p.1964.   DOI
18 T. F. Chan, C. K. Wong, "Total Variation Blind De-convolution," IEEE Transactions on Image Processing, Vol.7, No.3, 1998, p.370.   DOI   ScienceOn