Blind Blur Assessment for Vision-Based Applications

Author

Wu, Shiqian ; Lin, Weisi ; Lu, Zhongkang ; Ong, Ee Ping ; Yao, Susu

Author_Institution

Inst. for Infocomm Res., Singapore

fYear

2007

fDate

2-5 July 2007

Firstpage

1639

Lastpage

1642

Abstract

This paper proposes a method for assessing blur caused by defocus from one image. The essential idea is to estimate the point spread function (PSF) from the line spread function (LSF), whereas the LSF is constructed from edge information. The procedure includes edge detection and localization, pixel interpolation, LSF determination and PSF extraction. This approach is independent of image contents, and the algorithm has fast speed as it works in spatial domain without complex Fourier transform or iterative computation. The experimental results validate the proposed method. It can be used for blind image quality evaluation in vision-based applications.

Keywords

computer vision; edge detection; interpolation; optical transfer function; blind blur assessment; edge detection; edge localization; line spread function; pixel interpolation; point spread function; vision-based application; Data mining; Degradation; Fourier transforms; Image edge detection; Image quality; Interpolation; Iterative algorithms; Iterative methods; Machine vision; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2007 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-1016-9

Electronic_ISBN

1-4244-1017-7

Type

conf

DOI

10.1109/ICME.2007.4284981

Filename

4284981