In this paper, the fast technique for image colorization is considered. The proposed method transfers colors from the color image (source) to the gray level image (target). For the source image, we use the segmented uniformly colored regions (dielectric surfaces) under single color illumination. This method maps the gray level image into the color space by means of parametrical mapping learnt using PCA and principal components regression. The experiments show the method's feasibility for colorizing the objects, and textures, as well. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Pipirigeanu, A., Bochko, V., & Parkkinen, J. (2009). A computationally efficient technique for image colorization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5646 LNCS, pp. 120–129). https://doi.org/10.1007/978-3-642-03265-3_13
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