Abstract

A new method is proposed for estimating the parameters of the point-spread function from the Fourier spectrum of a distorted image. When there is blurring of an image, its spectrum is compressed in the direction of the blurring, and this makes it possible to estimate the direction and magnitude Δ of the blurring. In the case of defocusing, the spectrum is also deformed proportionally to the defocusing radius ρ, and this makes it possible to estimate ρ. Numerical examples are given of the application of this technique to a tomographic image.

© 2015 Optical Society of America

Automatic estimation of point-spread-function for deconvoluting out-of-focus optical coherence tomographic images using information entropy-based approach

Guozhong Liu, Siavash Yousefi, Zhongwei Zhi, and Ruikang K. Wang
Opt. Express 19(19) 18135-18148 (2011)

Estimation of the ocular point spread function by retina modeling

N. Meitav and E. N. Ribak
Opt. Lett. 37(9) 1466-1468 (2012)

On-the-fly estimation of a microscopy point spread function

Jizhou Li, Feng Xue, Fuyang Qu, Yi-Ping Ho, and Thierry Blu
Opt. Express 26(20) 26120-26133 (2018)

Deriving instrumental point spread functions from partially occulted images

Stefan J. Hofmeister, Michael Hahn, and Daniel Wolf Savin
J. Opt. Soc. Am. A 39(12) 2153-2168 (2022)

Measurement of the point-spread function of a noisy imaging system

Christopher D. Claxton and Richard C. Staunton
J. Opt. Soc. Am. A 25(1) 159-170 (2008)