A Spectral Color Analysis and Colorization Technique

Authors:
Vladimir Bochko;Jussi Parkkinen
Affiliations:
Lappeenranta University of Technology;University of Joensuu
Venue:
IEEE Computer Graphics and Applications
Year:
2006

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Abstract

As the demand for colorization increases, so does the need for an automated technique. A solution to the color-picking task involves principal component analysis-based learning techniques such as a mixture model of probabilistic principal component analyzers and regressive PCA. Experimental results confirm the method's feasibility.