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Spotlight on Optics

Spotlight on Optics

| HIGHLIGHTED ARTICLES FROM OSA JOURNALS

  • October 2009

Optics InfoBase > Spotlight on Optics > Efficient estimation of ideal-observer performance in classification tasks involving high-dimensional complex backgrounds


Efficient estimation of ideal-observer performance in classification tasks involving high-dimensional complex backgrounds

Published in JOSA A, Vol. 26 Issue 11, pp.B59-B71 (2009)
by Subok Park and Eric Clarkson

Source article Abstract | Full Text: XHTML | Full Text: PDF


Spotlight summary: The use of the Bayesian ideal observer approach to image quality assessment can be highly advantageous but has been hampered by computational complexity for real-life statistics. The current procedure develops a fast Markov-chain model for real-time estimation of channelized ideal observer computations.

OCIS Codes: (110.3000) Imaging systems : Image quality assessment
(330.1880) Vision, color, and visual optics : Detection
(330.6100) Vision, color, and visual optics : Spatial discrimination


Posted on October 08, 2009

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