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Example‐based image recoloring in an indoor environment
Author(s) -
Lin Xianxuan,
Wang Xun,
Li Frederick W. B.,
Li Jinyu,
Yang Bailin,
Zhang Kaili,
Wei Tianxiang
Publication year - 2019
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1917
Subject(s) - artificial intelligence , computer science , computer vision , color image , image (mathematics) , matching (statistics) , color histogram , local color , color balance , computer graphics (images) , pattern recognition (psychology) , image processing , mathematics , statistics
Color structure of a home scene image closely relates to the material properties of its local regions. Existing color migration methods typically fail to fully infer the correlation between the coloring of local home scene regions, leading to a local blur problem. In this paper, we propose a color migration framework for home scene images. It picks the coloring from a template image and transforms such coloring to a home scene image through a simple interaction. Our framework comprises three main parts. First, we carry out an interactive segmentation to divide an image into local regions and extract their corresponding colors. Second, we generate a matching color table by sampling the template image according to the color structure of the original home scene image. Finally, we transform colors from the matching color table to the target home scene image with the boundary transition maintained. Experimental results show that our method can effectively transform the coloring of a scene matching with the color composition of a given natural or interior scenery.