Ji Maan Kim
ABSTRACT
Colorization of black and white images is a difficult task due to the lack of color information in the monochrome space. In this paper, we propose an automated approach to produce realistic colorizations using texture classification. We limit our subjects to mountain landscapes where there is an identifiable number of textures. Our proposed model of colorization remains robust throughout test images we used. The paper further discusses a brief guideline for developing a problem-specific colorization such as landscapes.
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Index Terms
- Colorization of Mountainous Landscape Images in Grayscale Using Texture Feature Analysis
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