KEYWORDS: Image segmentation, Video, Image processing algorithms and systems, Image processing, Motion estimation, Visualization, Video processing, Motion measurement, 3D image processing, RGB color model
Colorization is a computer-aided process of adding color to a grayscale image or video. The task
of colorizing a grayscale image involves assigning three dimensional (RGB) pixel values to an
image which varies along only one dimension (luminance or intensity). Since different colors may
have the same luminance value but vary in hue or saturation, mapping between intensity and
color is not unique, and colorization is ambiguous in nature, requiring some amount of human
interaction or external information. In this paper we propose a semi-automatic process for
colorization where the user indicates how each region should be colored by putting the desired
color marker in the interior of the region. The algorithm based on the position and color of the
markers, segments the image and colors it. In order to colorize videos, few reference frames are
chosen manually from a set of automatically generated key frames and colorized using the above
marker approach and their chrominance information is then transferred to the other frames in the
video using a color transfer technique making use of motion estimation. The colorization results
obtained are visually very good. In addition the amount of manual intervention is reduced since
the user only has to apply color markers on few selected reference frames and the proposed
algorithm colors the entire video sequence.
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