[1]DU Weiwei.Colorization by classifying the prior knowledge[J].CAAI Transactions on Intelligent Systems,2011,6(6):556-560.
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Colorization by classifying the prior knowledge

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 6 Page number: 556-560 Column: 学术论文—人工智能基础 Public date: 2011-12-25
Title:
Colorization by classifying the prior knowledge
Author(s):
DU Weiwei
Department of Information Science, Kyoto Institute of Technology, Kyoto, Japan 6068585
Keywords:
colorization;  prior knowledge
CLC:
TP18
DOI:
-
Abstract:
When a onedimensional luminance scalar is replaced by a vector of a colorful multidimension for every pixel of a monochrome image, the process is called colorization. However, colorization is underconstrained. Therefore, the prior knowledge is considered and given to the monochrome image. Colorization using optimization algorithm is an effective algorithm for the above problem. However, it cannot effectively do with some images well without repeating experiments for confirming the place of scribbles. In this paper, a colorization algorithm is proposed, which can automatically generate the prior knowledge. The idea is that firstly, the prior knowledge crystallizes into some points of the prior knowledge which is automatically extracted by downsampling and upsampling method. And then some points of the prior knowledge are classified and given with corresponding colors. Lastly, the color image can be obtained by the color points of the prior knowledge. It is demonstrated that the proposal can not only effectively generate the prior knowledge but also colorize the monochrome image according to requirements of user with some experiments.
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