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Proceedings Paper

PSF estimation by gradient descent fit to the ESF
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Paper 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.

Paper Details

Date Published: 17 January 2006
PDF: 9 pages
Proc. SPIE 6059, Image Quality and System Performance III, 60590E (17 January 2006); doi: 10.1117/12.643071
Show Author Affiliations
Elisa H. Barney Smith, Boise State Univ. (United States)

Published in SPIE Proceedings Vol. 6059:
Image Quality and System Performance III
Luke C. Cui; Yoichi Miyake, Editor(s)

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