@inproceedings{0c6acb91987c4d7eb19b0fe3ecb6acf6,
title = "Task-specific information: An imaging system analysis tool",
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.",
keywords = "Diffraction-limited imager, Entropy, Minimum-mean square error, Mutual information",
author = "Amit Ashok and Baheti, {Pawan K.} and Neifeld, {Mark A.}",
year = "2007",
doi = "10.1117/12.720878",
language = "English (US)",
isbn = "0819466972",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Visual Informaion Processing XVI",
note = "Visual Information Processing XVI ; Conference date: 10-04-2007 Through 10-04-2007",
}