DocumentCode
1615703
Title
De-blurring algorithm for fish eye Image on CCTV with nonlinear equation
Author
Lee, In Jung
Author_Institution
Dept. of Comput. Eng., Hoseo Univ., Seoul
fYear
2008
Firstpage
1986
Lastpage
1989
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCAS.2008.4694424
Filename
4694424
Link To Document