Task-specific information: An imaging system analysis tool

Amit Ashok, Pawan K. Baheti, Mark A. Neifeld

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

2 Scopus citations


We present a novel method for computing the information content of an image. We introduce the notion of task-specific information (TSI) in order to quantify imaging system performance for a given task. This new approach employs a recently-discovered relationship between the Shannon mutual-information and minimum estimation error. We demonstrate the utility of the TSI formulation by applying it to several familiar imaging systems including (a) geometric imagers, (b) diffraction-limiter imagers, and (c) projective/compressive imagers. Imaging system TSI performance is analyzed for two tasks: (a) detection, and (b) classification.

Original languageEnglish (US)
Title of host publicationVisual Informaion Processing XVI
StatePublished - 2007
EventVisual Information Processing XVI - Orlando, FL, United States
Duration: Apr 10 2007Apr 10 2007

Publication series

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


OtherVisual Information Processing XVI
Country/TerritoryUnited States
CityOrlando, FL


  • Diffraction-limited imager
  • Entropy
  • Minimum-mean square error
  • Mutual information

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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