Abstract
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.
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Pipirigeanu, A., Bochko, V., Parkkinen, J. (2009). A Computationally Efficient Technique for Image Colorization. In: Trémeau, A., Schettini, R., Tominaga, S. (eds) Computational Color Imaging. CCIW 2009. Lecture Notes in Computer Science, vol 5646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03265-3_13
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DOI: https://doi.org/10.1007/978-3-642-03265-3_13
Publisher Name: Springer, Berlin, Heidelberg
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