Yanto LIU,Shengjing TIAN,Meng LIU,Xiuping LIU.Mass Transport Based Multi-Model Color Transfer[J].数学研究及应用,2017,37(1):119~126
Mass Transport Based Multi-Model Color Transfer
Mass Transport Based Multi-Model Color Transfer
投稿时间:2016-10-28  最后修改时间:2016-12-19
DOI:10.3770/j.issn:2095-2651.2017.01.011
中文关键词:  Mass transport  color transfer  histogram  CIELab color space
英文关键词:Mass transport  color transfer  histogram  CIELab color space
基金项目:
作者单位
Yanto LIU School of Mathematical Sciences, Dalian University of Technology, Liaoning 116024, P. R. China; School of Science, Dalian Minzu University, Liaoning 116600, P. R. China 
Shengjing TIAN School of Mathematical Sciences, Dalian University of Technology, Liaoning 116024, P. R. China 
Meng LIU School of Mathematical Sciences, Dalian University of Technology, Liaoning 116024, P. R. China 
Xiuping LIU School of Mathematical Sciences, Dalian University of Technology, Liaoning 116024, P. R. China 
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中文摘要:
      Image editing is a hot research topic in the image processing region, and one of the most basic problems in this field is the color transfer. It modifies the color style of the target image to match the color palette of the source while preserving the content of the target. Although there exist many algorithms to deal with this problem, none of existing methods can handle all kinds of images, especially complex landscape images. In this paper, we propose a Mass Transport based color transfer method in the CIELab color space, which can generate natural transfer results for different kinds of images including landscapes. Different from previous methods using the same transfer model for all the channels, we adopt different models for the luminance channel and color channels. For the luminance channel, a global transfer method is adopted for keeping the consistence in the visual perception. For the color channels, we construct a model based on histogram and Mass Transport, which perfectly transfers the colors of all the pixels from the source to the target and simultaneously preserves the content. What is more, experiments on real images demonstrate that our approach performs favorably against most of the existing methods.
英文摘要:
      Image editing is a hot research topic in the image processing region, and one of the most basic problems in this field is the color transfer. It modifies the color style of the target image to match the color palette of the source while preserving the content of the target. Although there exist many algorithms to deal with this problem, none of existing methods can handle all kinds of images, especially complex landscape images. In this paper, we propose a Mass Transport based color transfer method in the CIELab color space, which can generate natural transfer results for different kinds of images including landscapes. Different from previous methods using the same transfer model for all the channels, we adopt different models for the luminance channel and color channels. For the luminance channel, a global transfer method is adopted for keeping the consistence in the visual perception. For the color channels, we construct a model based on histogram and Mass Transport, which perfectly transfers the colors of all the pixels from the source to the target and simultaneously preserves the content. What is more, experiments on real images demonstrate that our approach performs favorably against most of the existing methods.
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