Predicting human performance by a channelized Hotelling observer model

Jie Yao, Harrison H. Barrett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

133 Scopus citations


A psychophysical experiment was conducted to measure the performance of human observers in detecting an exactly known signal against a random, nonuniform background in the presence of noise correlations introduced by post-detection filtering (postprocessing). In order to predict this human performance, a new model observer was synthesized by adding frequency-selective channels to the Hotelling observer model which we have previously used for assessment of image quality. This new `channelized' Hotelling model reduces approximately to a nonprewhitening (NPW) observer for images with uniform background and correlated noise introduced by filtering, and to a Hotelling observer for images with nonuniform background and no postprocessing. For images with both background nonuniformity and post processing, the performance of this channelized Hotelling observer agrees well with human performance while the other two observer models (NPW and Hotelling observer) fail.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Number of pages8
ISBN (Print)0819409413
StatePublished - 1992
EventMathematical Methods in Medical Imaging - San Diego, CA, USA
Duration: Jul 23 1992Jul 24 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherMathematical Methods in Medical Imaging
CitySan Diego, CA, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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