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Task-specific information for imaging system Mark A. Neifeld,1,2
 

Summary: Task-specific information for imaging system
analysis
Mark A. Neifeld,1,2
Amit Ashok,1,
* and Pawan K. Baheti1
1
Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, University of Arizona,
Tucson, Arizona 85721, USA
2
College of Optical Sciences, 1630 East University Boulevard, University of Arizona, Tucson,
Arizona 85721, USA
*Corresponding author: ashoka@ece.arizona.edu
Received January 31, 2007; accepted May 15, 2007;
posted May 29, 2007 (Doc. ID 79534); published September 26, 2007
Imagery is often used to accomplish some computational task. In such cases there are some aspects of the
imagery that are relevant to the task and other aspects that are not. In order to quantify the task-specific
quality of such imagery, we introduce the concept of task-specific information TSI . A formal framework for the
computation of TSI is described and is applied to three common tasks: target detection, classification, and lo-
calization. We demonstrate the utility of TSI as a metric for evaluating the performance of three imaging sys-
tems: ideal geometric, diffraction-limited, and projective. The TSI results obtained from the simulation study

  

Source: Ashok, Amit - Department of Electrical and Computer Engineering, University of Arizona

 

Collections: Engineering