TU Darmstadt / ULB / TUbiblio

A New Connection Space for Low-Dimensional Spectral Color Management

Le Moan, Steven and Urban, Philipp (2014):
A New Connection Space for Low-Dimensional Spectral Color Management.
In: Proceedings of SPIE; 9018, SPIE Press, Bellingham, In: Measuring, Modeling, and Reproducing Material Appearance, pp. 90180E-1-90180E-6, DOI: 10.1117/12.2041450,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Le Moan, Steven and Urban, Philipp
Title: A New Connection Space for Low-Dimensional Spectral Color Management
Language: English
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.

Series Name: Proceedings of SPIE; 9018
Publisher: SPIE Press, Bellingham
Uncontrolled Keywords: 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
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Measuring, Modeling, and Reproducing Material Appearance
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1117/12.2041450
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)

View Item View Item