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Up Periscope! Designing a New Perceptual Metric for Imaging System PerformanceModern electronic imaging systems include optics, sensors, sampling, noise, processing, compression, transmission and display elements, and are viewed by the human eye. Many of these elements cannot be assessed by traditional imaging system metrics such as the MTF. More complex metrics such as NVTherm do address these elements, but do so largely through parametric adjustment of an MTF-like metric. The parameters are adjusted through subjective testing of human observers identifying specific targets in a set of standard images. We have designed a new metric that is based on a model of human visual pattern classification. In contrast to previous metrics, ours simulates the human observer identifying the standard targets. One application of this metric is to quantify performance of modern electronic periscope systems on submarines.
Document ID
20160001862
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Watson, Andrew B.
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
February 17, 2016
Publication Date
February 14, 2016
Subject Category
Behavioral Sciences
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN28587
Report Number: ARC-E-DAA-TN28587
Meeting Information
Meeting: Image Quality and System Performance XIII
Location: San Francisco, CA
Country: United States
Start Date: February 15, 2016
End Date: February 18, 2016
Sponsors: Society for Imaging Science and Technology
Funding Number(s)
WBS: WBS 927Z.15
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
imaging
vision
pattern classification
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