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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 20 — Jul. 10, 2010
  • pp: 3909–3915

Fast fine-pixel aerial image calculation in partially coherent imaging by matrix representation of modified Hopkins equation

Kenji Yamazoe  »View Author Affiliations


Applied Optics, Vol. 49, Issue 20, pp. 3909-3915 (2010)
http://dx.doi.org/10.1364/AO.49.003909


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Abstract

A fast computation algorithm for fine-pixel aerial images is presented that modifies the transmission cross coefficient approach of Hopkins as a product of two matrices. The spatial frequency of the image is calculated by the sum of diagonal and off-diagonal elements of the matrix. Let N, N F , and M be the number of the point sources, the sampling number for fast Fourier transform, and the sampling number in the spatial frequency domain ranging twice the pupil size, respectively. The calculation time of this method is proportional to B N [ ( M 1 ) / 2 ] 4 , while that of a conventional source integration method is 2 A N N F log 2 N F , where A and B are constants and generally B < A . If N F is sufficiently greater than M or M is small enough, which is the fine-pixel condition, this method runs faster than the source integration method. If the coherence factor is 0.9 and M 55 , this method runs faster than the source integration even under the Nyquist sampling condition.

© 2010 Optical Society of America

OCIS Codes
(110.2990) Imaging systems : Image formation theory
(110.4980) Imaging systems : Partial coherence in imaging
(110.5220) Imaging systems : Photolithography

ToC Category:
Imaging Systems

History
Original Manuscript: October 19, 2009
Revised Manuscript: May 25, 2010
Manuscript Accepted: June 14, 2010
Published: July 6, 2010

Citation
Kenji Yamazoe, "Fast fine-pixel aerial image calculation in partially coherent imaging by matrix representation of modified Hopkins equation," Appl. Opt. 49, 3909-3915 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-20-3909


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References

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