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Conference Paper
Digital Image Processing and Analysis
Tucson, Arizona United States
June 7-8, 2010
ISBN: 978-1-55752-892-6
Image Quality (DMA)

Application-Driven Spectral Image Quality Assessment and Prediction

John P. Kerekes


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The assignment of a quantitative spectral image quality metric is discussed with an approach proposed. Quality is divided into fidelity and utility components, with utility studied in the context of object detection in hyperspectral imagery.

© 2010 The Optical Society

OCIS Codes
(110.0110) Imaging systems : Imaging systems
(110.3000) Imaging systems : Image quality assessment
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

J. P. Kerekes, "Application-Driven Spectral Image Quality Assessment and Prediction," in Imaging and Applied Optics Congress, OSA Technical Digest (CD) (Optical Society of America, 2010), paper DMA2.

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