Recoding Color Transfer as A Color Homography

Han Gong, Graham Finlayson, Robert Fisher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)
13 Downloads (Pure)


Color transfer is an image editing process that adjusts the colors of a picture to match a target picture's color theme. A natural color transfer not only matches the color styles but also prevents after-transfer artifacts due to image compression, noise, and gradient smoothness change. The recently discovered color homography theorem proves that colors across a change in photometric viewing condition are related by a homography. In this paper, we propose a color-homography-based color transfer decomposition which encodes color transfer as a combination of chromaticity shift and shading adjustment. A powerful form of shading adjustment is shown to be a global shading curve by which the same shading homography can be applied elsewhere. Our experiments show that the proposed color transfer decomposition provides a very close approximation to many popular color transfer methods. The advantage of our approach is that the learned color transfer can be applied to many other images (e.g. other frames in a video), instead of a frame-to-frame basis. We demonstrate two applications for color transfer enhancement and video color grading re-application. This simple model of color transfer is also important for future color transfer algorithm design.
Original languageEnglish
Title of host publicationProceedings of the British Machine Vision Conference (BMVC) 2016
PublisherBMVA Press
Number of pages11
Publication statusPublished - 2016
EventBritish Machine Vision Conference - UK, York, United Kingdom
Duration: 19 Sep 201622 Sep 2016


ConferenceBritish Machine Vision Conference
Country/TerritoryUnited Kingdom


  • color transfer
  • re-coding
  • color homography

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