Measurement of the point-spread function of a noisy imaging system
JOSA A, Vol. 25, Issue 1, pp. 159-170 (2008)
http://dx.doi.org/10.1364/JOSAA.25.000159
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Abstract
The averaged point-spread function (PSF) estimation of an image acquisition system is important for many computer vision applications, including edge detection and depth from defocus. The paper compares several mathematical models of the PSF and presents an improved measurement technique that enables subpixel estimation of 2D functions. New methods for noise suppression and uneven illumination modeling were incorporated. The PSF was computed from an ensemble of edge-spread function measurements. The generalized Gaussian was shown to be an 8 times better fit to the estimated PSF than the Gaussian and a 14 times better fit than the pillbox model.
© 2008 Optical Society of America
OCIS Codes
(110.2970) Imaging systems : Image detection systems
(110.4850) Imaging systems : Optical transfer functions
(150.5670) Machine vision : Range finding
(220.2560) Optical design and fabrication : Propagating methods
(220.4840) Optical design and fabrication : Testing
(350.4600) Other areas of optics : Optical engineering
ToC Category:
Imaging Systems
History
Original Manuscript: May 17, 2007
Revised Manuscript: September 18, 2007
Manuscript Accepted: October 2, 2007
Published: December 18, 2007
Virtual Issues
Vol. 3, Iss. 2 Virtual Journal for Biomedical Optics
Citation
Christopher D. Claxton and Richard C. Staunton, "Measurement of the point-spread function of a noisy imaging system," J. Opt. Soc. Am. A 25, 159-170 (2008)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-25-1-159
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