Image and video colorization based on prioritized source propagation

Authors:
Jun-Hee Heu;Dae-Young Hyun;Chang-Su Kim;Sang-Uk Lee
Affiliations:
Signal Processing Laboratory, School of Electrical Engineering and INMC, Seoul National University, Korea;Signal Processing Laboratory, School of Electrical Engineering and INMC, Seoul National University, Korea;School of Electrical Engineering, Korea University, Seoul, Korea;Signal Processing Laboratory, School of Electrical Engineering and INMC, Seoul National University, Korea
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

An efficient colorization scheme for images and videos based on prioritized source propagation is proposed in this work. A user first scribbles colors on a set of source pixels in an image or the first frame of a movie. The proposed algorithm then propagates those colors to the other non-source pixels and the subsequent frames. Specifically, the proposed algorithm identifies the non-source pixel with the highest priority, which can be most reliably colorized. Then, its color is interpolated from the neighboring pixels. This is repeated until the whole image or movie is colorized. Simulation results demonstrate that the proposed algorithm yields more reliable colorization performance than the conventional algorithms.