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
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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