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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 17 — Jun. 10, 2010
  • pp: 3330–3337

Sampling-balanced imaging system utilizing whitening matched filter

Yochay Danziger  »View Author Affiliations

Applied Optics, Vol. 49, Issue 17, pp. 3330-3337 (2010)

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Imaging systems designed for point target detection and 3D reconstruction must be filtered in order to maximize signal-to-noise ratio and minimize position expectation error. An optimal whitening matched filter (WMF) is derived based on expected spatial target distribution and system colored noise. The expected noise is derived as a weighted combination of clutter aliasing, target aliasing, and detector noise. Further optimization of system performance is achieved by modification of the optical point spread function (PSF), so a sampling-balanced operation is achieved where all noise components are comparable. The improved performance of the optimized system is calculated and compared to the performance of other systems using other known linear postfilters with various optical PSF widths. It is shown that the WMF in a sampling-balanced system is a robust configuration that needs only minor modifications when scenario parameters are varied.

© 2010 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(110.4280) Imaging systems : Noise in imaging systems
(150.0150) Machine vision : Machine vision
(070.2615) Fourier optics and signal processing : Frequency filtering

ToC Category:
Imaging Systems

Original Manuscript: January 25, 2010
Revised Manuscript: April 25, 2010
Manuscript Accepted: May 18, 2010
Published: June 7, 2010

Yochay Danziger, "Sampling-balanced imaging system utilizing whitening matched filter," Appl. Opt. 49, 3330-3337 (2010)

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