Title :
De-blurring algorithm for fish eye Image on CCTV with nonlinear equation
Author_Institution :
Dept. of Comput. Eng., Hoseo Univ., Seoul
Abstract :
A CCTV system reduces some number of cameras if we use fish-eye. In this case, fish-eye image distorted, we need transformation to flat images. In the center of images, a transformed image has no distortion, but at near boundary image has plentiful distortion. This distortion is caused by diffraction. In this paper, we introduce the backward solution of nonlinear wave equation for reducing blurred noise. To analysis the experimental result, we investigate to PSNR and get about more than 4 PSNR value.
Keywords :
closed circuit television; diffraction; distortion; image restoration; nonlinear equations; wave equations; CCTV system; closed circuit television; de-blurring algorithm; diffraction; distortion; fish eye image; nonlinear wave equation; Automatic control; Cameras; Marine animals; Monitoring; Nonlinear distortion; Nonlinear equations; PSNR; Partial differential equations; Surveillance; Vehicle detection; Backward Solution; De-blurring; Nonlinear Wave Equation;
Conference_Titel :
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-9-3
Electronic_ISBN :
978-89-93215-01-4
DOI :
10.1109/ICCAS.2008.4694424
