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Proceedings Paper

Task-specific information: an imaging system analysis tool
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Paper Abstract

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.

Paper Details

Date Published: 25 April 2007
PDF: 8 pages
Proc. SPIE 6575, Visual Information Processing XVI, 65750G (25 April 2007); doi: 10.1117/12.720878
Show Author Affiliations
Amit Ashok, Univ. of Arizona (United States)
Pawan K. Baheti, Univ. of Arizona (United States)
Mark A. Neifeld, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 6575:
Visual Information Processing XVI
Zia-ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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