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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Stephen A. Burns
  • Vol. 24, Iss. 7 — Jul. 1, 2007
  • pp: 1920–1929

Image-based prediction of imaging and vision performance

Saar Bobrov and Yoav Y. Schechner  »View Author Affiliations


JOSA A, Vol. 24, Issue 7, pp. 1920-1929 (2007)
http://dx.doi.org/10.1364/JOSAA.24.001920


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Abstract

Some scenarios require performance estimation of an imaging or a computer vision system prior to its actual operation such as in system design, as well as in tasks of high risk or cost. To predict the performance, we propose an image-based approach that accounts for underlying image-formation processes while using real image data. We give a detailed description of image formation from scene photons to image gray levels. This analysis includes all the optical, electrical, and digital sources of signal distortion and noise. On the basis of this analysis and our access to the camera parameters, we devise a simple image-based algorithm. It transforms a baseline high-quality image to render an estimated outcome of the system we wish to operate or design. We demonstrate our approach on thermal imaging systems (infrared spectrum, 3 5 μ m ).

© 2007 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(110.2960) Imaging systems : Image analysis
(110.3000) Imaging systems : Image quality assessment
(110.3080) Imaging systems : Infrared imaging

ToC Category:
Imaging Systems

History
Original Manuscript: June 22, 2006
Revised Manuscript: December 27, 2006
Manuscript Accepted: February 4, 2007
Published: June 13, 2007

Virtual Issues
Vol. 2, Iss. 8 Virtual Journal for Biomedical Optics

Citation
Saar Bobrov and Yoav Y. Schechner, "Image-based prediction of imaging and vision performance," J. Opt. Soc. Am. A 24, 1920-1929 (2007)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-7-1920

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