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A New Connection Space for Low-Dimensional Spectral Color Management

Le Moan, Steven ; Urban, Philipp (2014)
A New Connection Space for Low-Dimensional Spectral Color Management.
Measuring, Modeling, and Reproducing Material Appearance.
doi: 10.1117/12.2041450
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Multi- or hyper-spectral pixels are usually represented as vectors with high dimensionality. For many applications, not all of these dimensions are actually necessary, and a few values are enough to measure and/or process the pixel with a very good accuracy. In this work, we introduce a new strategy to reduce the dimensionality of spectral images ranging in the visible wavelengths, for purposes of color management. We define a new Interim Connection Space (ICS) that contains only five dimensions, and show that it has numerous advantages over state-of-the-art ICS such as LabPQR. In particular, it allows for a better spectral reconstruction accuracy.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Autor(en): Le Moan, Steven ; Urban, Philipp
Art des Eintrags: Bibliographie
Titel: A New Connection Space for Low-Dimensional Spectral Color Management
Sprache: Englisch
Publikationsjahr: 2014
Verlag: SPIE Press, Bellingham
Reihe: Proceedings of SPIE; 9018
Veranstaltungstitel: Measuring, Modeling, and Reproducing Material Appearance
DOI: 10.1117/12.2041450
Kurzbeschreibung (Abstract):

Multi- or hyper-spectral pixels are usually represented as vectors with high dimensionality. For many applications, not all of these dimensions are actually necessary, and a few values are enough to measure and/or process the pixel with a very good accuracy. In this work, we introduce a new strategy to reduce the dimensionality of spectral images ranging in the visible wavelengths, for purposes of color management. We define a new Interim Connection Space (ICS) that contains only five dimensions, and show that it has numerous advantages over state-of-the-art ICS such as LabPQR. In particular, it allows for a better spectral reconstruction accuracy.

Freie Schlagworte: Business Field: Virtual engineering, Business Field: Visual decision support, Research Area: Computer graphics (CG), Research Area: Computer vision (CV), Research Area: Modeling (MOD), Color management, Dimension reduction
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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