ISSN : 1796-2048
Volume : 4    Issue : 4    Date : August 2009

Film Colorization Using Texture Feature Coding and Artificial Neural Networks
Mina Koleini, S. Amirhassan Monadjemi, and Payman Moallem
Page(s): 240-247
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In this paper a novel method for machine-based black and white films colorization is presented. The
kernel of the proposed scheme is a trained artificial neural network which maps the frame pixels
from a grayscale space into a color space. We employ the texture coding method to capture the
line/texture characteristics of each pixel as its most significant gray scale space feature, and using
that feature, expect a highly accurate B/W to color mapping from the ANN. The ANN would be trained
by the B/W-color pairs of an original reference frame. The experiments performed on some typical
video footages show the advantages of the proposed method in both visual and mathematical
aspects. Different color spaces are also tried to obtain the optimum colorization performance.

Index Terms
Colorization, Texture Feature Coding Method, Artificial Neural Networks, Color Spaces, Motion