@incollection{furht_spectral_2008,
	title = {Spectral {Model}},
	copyright = {©2008 Springer-Verlag},
	isbn = {978-0-387-74724-8 978-0-387-78414-4},
	url = {http://link.springer.com/referenceworkentry/10.1007/978-0-387-78414-4_221},
	abstract = {DefinitionSingle-sensor solutions may employ a spectral model in the processing pipeline in order to take advantage of both the spatial and spectral properties of the available samples and thus eliminate color shifts and artifacts in output, single-sensor captured images [1–3].The fundamental rationale behind the introduction of the spectral model is that a typical natural image exhibits significant spectral correlation among its Red-Green-Blue (RGB) color planes, as well as significant spatial correlation among its spatially neighboring pixels. Since natural color images do not have large areas exhibiting uniform image characteristics or small variations in pixels’ values, modeling constraints are applied to spatial locations neighboring the pixel location selected for processing. Smoothly changing spectral image characteristics are enforced by averaging the obtained spectral quantities in the considered spatial neighborhood.The currently used spectral models are based on th ...},
	language = {en},
	urldate = {2016-05-03},
	booktitle = {Encyclopedia of {Multimedia}},
	publisher = {Springer US},
	editor = {Furht, Borko},
	year = {2008},
	note = {00000},
	pages = {819--819}
}

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