Example-based color transfer with Gaussian mixture modeling

作者：

Highlights：

• We propose a novel color transfer approach under GMM framework by taking an example image and a source image as input.

• We introduce a regularization term to better preserve the gradient information in color transfer.

• We conduct extensive experiments and demonstrate that our method generally outperforms other competitive techniques.

摘要

•We propose a novel color transfer approach under GMM framework by taking an example image and a source image as input.•We introduce a regularization term to better preserve the gradient information in color transfer.•We conduct extensive experiments and demonstrate that our method generally outperforms other competitive techniques.

论文关键词：Color transfer,Gaussian mixture model,EM optimization

论文评审过程：Received 9 June 2021, Revised 11 April 2022, Accepted 16 April 2022, Available online 18 April 2022, Version of Record 1 May 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108716