Computational color (3621520, 5 ECTS)

Period 2, 24.10. - 16.12.2011, 2011.

Ville Heikkinen, School of Computing, University of Eastern Finland, Joensuu campus

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Learning Outcomes:

After completing the course, students understand the basic concepts of spectral color representation and relation of spectral space to standard color coordinate systems. Course introduces possibilities and problems in accurate color imaging and reproduction. Especially, the course introduces methods for color calibration and estimation of reflectance spectrum from RGB- and multispectral measurements. Mathematical methods like PCA, NMF, and NTF are introduced for analysis and processing of spectral data. Student will have skills for practical use of the above mentioned methods for color management in spectral color space.

Topics:

• Models for spectral signals and color coordinates
• Physical and empirical reflectance estimation and color calibration models
• Subspace projections, Principal Component Analysis
• Non-negative Matrix- and Tensor Factorization