Example-based Image Recoloring in Indoor Environment

Lin, Xianxuan; Wang, Xun; Li, Frederick W.B.; Li, Jinyu; Yang, Bailin; Zhang, Kaili; Wei, Tianxiang

Abstract

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.

Citation

Lin, X., Wang, X., Li, F. W., Li, J., Yang, B., Zhang, K., & Wei, T. (2020). Example-based Image Recoloring in Indoor Environment. Computer Animation and Virtual Worlds, 31(2), Article e1917. https://doi.org/10.1002/cav.1917

• Journal Article Type: Article
• Acceptance Date: Oct 15, 2019
• Online Publication Date: Dec 9, 2019
• Publication Date: Mar 31, 2020
• Deposit Date: Oct 30, 2019
• Publicly Available Date: Dec 9, 2020
• Journal: Computer Animation and Virtual Worlds
• Print ISSN: 1546-4261
• Electronic ISSN: 1546-427X
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 2
• Article Number: e1917
• DOI: https://doi.org/10.1002/cav.1917
• Public URL: https://durham-repository.worktribe.com/output/1286448