PSF estimation by gradient descent fit to the ESF

Elisa H. Barney Smith

doi:10.1117/12.643071

17 January 2006 PSF estimation by gradient descent fit to the ESF

Elisa H. Barney Smith

Proceedings Volume 6059, Image Quality and System Performance III; 60590E (2006) https://doi.org/10.1117/12.643071
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Calibration of scanners and cameras usually involves measuring the point spread function (PSF). When edge data is used to measure the PSF, the differentiation step amplifies the noise. A parametric fit of the functional form of the edge spread function (ESF) directly to the measured edge data is proposed to eliminate this. Experiments used to test this method show that the Cauchy functional form fits better than the Gaussian or other forms tried. The effect of using a functional form of the PSF that differs from the true PSF is explored by considering bilevel images formed by thresholding. The amount of mismatch seen can be related to the difference between the respective kurtosis factors.

Citation Download Citation

Elisa H. Barney Smith "PSF estimation by gradient descent fit to the ESF", Proc. SPIE 6059, Image Quality and System Performance III, 60590E (17 January 2006); https://doi.org/10.1117/12.643071

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