@inproceedings{e5edfc2807e740439fac09da26cbe18c,
title = "Scene-adaptive color transfer model with application for image compositing",
abstract = "Compositing is one of the most critical techniques in various aspects such as movie production and computer graphics. When images have complex textures, existing color based methods require exhaustive training samples to achieve plausible compositing results. In this paper, we propose a scene-adaptive color transfer model with an application for image compositing. We extract foregrounds from the source and target images. Then, we divide the source and target images into unequal bands according to the luminance. After that, color transfer is conducted by dynamically adjusting the weights of luminance and chrominance. To achieve a realistic composite, we introduce an adaptive source compositing region selection method and address the boundary transition by a discrete Poisson solver. The experiment results illustrate that our method achieves a faithful color transfer. In addition, our composite results appear highly realistic.",
keywords = "Adaptive composite region, Color transfer, Unequal division, Weight adjustment",
author = "Yanan Feng and Tao Yu and Wei Wu and Zhong Zhou",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Virtual Reality and Visualization, ICVRV 2015 ; Conference date: 17-10-2015 Through 18-10-2015",
year = "2016",
month = may,
day = "9",
doi = "10.1109/ICVRV.2015.47",
language = "英语",
series = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "32--39",
editor = "Zhong Zhou and Weiliang Meng and Junfeng Yao and Xiaopeng Zhang and Xun Luo",
booktitle = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
address = "美国",
}