@inproceedings{dcd9978d7825476b80aa6e5ff5e36839,
title = "Homogenous color transfer using texture retrieval and matching",
abstract = "Color transfer is a simple but effective technique of realistic rendering. Most methods of color transfer select the source image manually, which makes an inconsistent transformation in semantic areas. We propose a novel approach of homogenous color transfer by using texture retrieval and matching. Several images are found out from a database using the texture features of a target image, then the image with the highest texture similarity is set as the source image. With a simple interaction of brush stroke in the target image, the texture features of the covered pixels are used to extract a homogenous region in the source image and match between such regions. Afterwards, an adaptive color transfer scheme is applied in the matched regions. Owing to the texture retrieval and matching, this method produces a consistent visual effect results. We demonstrate experiments in image colorization, style conversion and exposure adjustment to verify the characteristics.",
keywords = "Color transfe, Regions matching, Texture retrieval",
author = "Chang Xing and Hai Ye and Tao Yu and Zhong Zhou",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th Pacific-Rim Conference on Multimedia, PCM 2016 ; Conference date: 15-09-2016 Through 16-09-2016",
year = "2016",
doi = "10.1007/978-3-319-48896-7\_16",
language = "英语",
isbn = "9783319488950",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "159--168",
editor = "Enqing Chen and Yun Tie and Yihong Gong",
booktitle = "Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings",
address = "德国",
}