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Diagnostic and quality-assurance tools for low-contrast images obtained from array detectorsWe investigate methods of estimating a background image frame for subtraction from a data frame for use when a more suitable measured background frame is not available. We define background as any signal component that is not attributable to the phenomenon currently under investigation. We describe a technique that is based on pixel-by-pixel least-squares regression of images for computing a background frame from available data. We argue that the same technique can be a useful quality-assurance tool for evaluating instrument performance. For example, it can help to separate image structure resulting from the reading process from structure resulting from the characteristics of the detector itself. We demonstrate that background estimation can be nontrivial by comparing the results of different background estimation procedures by using data obtained from a CCD array detector. We investigate the temperature-dependent contributions of the detector and readout electronics to the total signal as a demonstration of the diagnostic capabilities of least-squares image regression.
Document ID
19940035241
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Hatfield, D. B.
(NASA Headquarters Washington, DC United States)
Sandel, Bill R.
(Arizona Univ. Tucson, United States)
Date Acquired
August 16, 2013
Publication Date
September 10, 1993
Publication Information
Publication: Applied Optics
Volume: 32
Issue: 26
ISSN: 0003-6935
Subject Category
Instrumentation And Photography
Accession Number
94A11896
Funding Number(s)
CONTRACT_GRANT: F19628-88-K-0028
CONTRACT_GRANT: NSF ATM-86-10411
CONTRACT_GRANT: NASW-4245
CONTRACT_GRANT: F19628-86-K-0040
Distribution Limits
Public
Copyright
Other

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