Title :
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
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;
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
DOI :
10.1109/ETCS.2009.597
