DocumentCode
2670842
Title
On PSF for lined motion blurred image
Author
Chaoyang, Zhang ; Guangjun, Liao ; Qifeng, Qi
Author_Institution
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou
fYear
2008
fDate
16-18 July 2008
Firstpage
357
Lastpage
360
Abstract
Point-spread function (PSF) plays a key role in image restoration. As a result, prior knowledge and poseteriori estimation of PSF is usually used to restore image. By analyzing and establishing the degraded mathematical model of lined blurred image and studying the calculating method of PSF, this paper gives a new way to identify the motion blur direction from the blurred image by direction derivation method and an approach to calculate the motion blur length. Experiments show that by the methods given above we get satisfactory results. And we also experiment and compare the inverse filtering results with the Wiener filtering results with/without noise respectively.
Keywords
Wiener filters; image motion analysis; image restoration; optical transfer function; Wiener filtering; image restoration; inverse filtering; lined motion blurred image; mathematical model; motion blur direction; point-spread function; Automation; Chaos; Degradation; Educational institutions; Filtering; Forensics; Image restoration; Motion analysis; Motion control; Wiener filter; Inverse Filtering; Motion Blur Directiong; Motion Blur Length; PSF; Wiener Filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605781
Filename
4605781
Link To Document