A New Method for Blur Identification of Out-of-Focus Images

Author

Liu, Aihong ; Hu, Guosheng ; Wu, Haiyan

Author_Institution

Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang

Volume

3

fYear

2009

fDate

7-8 March 2009

Firstpage

298

Lastpage

301

Abstract

This paper presents a new method for blur identification of out-of-focus images, which is assumed that at least one sharp edge could be detected. The line spread function (LSF) could be derived from the edge(s) of the image and the perfect line spread functions (LSFs) are constructed from the out-of-focus model. Then least square function is used to determine the radius of defocus blur. This approach has fast speed as it works in spatial domain without complex Fourier transformation or iterative computation. The experimental results validate the accuracy and efficiency of the proposed method.

Keywords

Fourier transforms; image restoration; iterative methods; least squares approximations; Fourier transformation; blur identification; iterative computation; line spread function; out-of-focus images; Computer science education; Convolution; Focusing; Frequency domain analysis; Image edge detection; Image restoration; Iterative methods; Least squares approximation; Least squares methods; Mathematical model; blur identification; least square function; line spread function; out-of-focus images; spatial domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-3581-4

Type

conf

DOI

10.1109/ETCS.2009.597

Filename

4959314