A Mathematical Model to Estimate Out of Focus Blur

Author

Moghaddam, Mohsen Ebrahimi

Author_Institution

Shahid Beheshti Univ., Tehran

fYear

2007

fDate

27-29 Sept. 2007

Firstpage

278

Lastpage

281

Abstract

Blur identification is one of the most important parts of image restoration. The most conventional blur that occurs in images is out of focus, which is generated because of lens defocus. In this paper, a new method is presented to estimate out of focus blur parameters robustly. This method is based on mathematical modeling of zero crossing in log of Fourier spectrum. We have presented a formula to calculate out of focus blur parameters using circular hough transform and statistical measures. Experimental results show the error tolerance of the method is about 2% and this works on noisy images with SNR ges 55 dB, robustly.

Keywords

Fourier transforms; Hough transforms; image restoration; lenses; Fourier spectrum; blur identification; circular Hough transform; image restoration; lens defocus; mathematical modeling; zero crossing; Degradation; Equations; Focusing; Frequency response; Image analysis; Image edge detection; Image restoration; Mathematical model; Pixel; Robustness; Blur identification; Fourier spectrum; Hough Transform; Out of focus;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on

Conference_Location

Istanbul

ISSN

1845-5921

Print_ISBN

978-953-184-116-0

Type

conf

DOI

10.1109/ISPA.2007.4383705

Filename

4383705