Task-specific information: an imaging system analysis tool

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

doi:10.1117/12.720878

25 April 2007 Task-specific information: an imaging system analysis tool

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

Proceedings Volume 6575, Visual Information Processing XVI; 65750G (2007) https://doi.org/10.1117/12.720878
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Amit Ashok, Pawan K. Baheti, and Mark A. Neifeld "Task-specific information: an imaging system analysis tool", Proc. SPIE 6575, Visual Information Processing XVI, 65750G (25 April 2007); https://doi.org/10.1117/12.720878

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