Projects per year
Abstract
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 language | English |
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Title of host publication | Proceedings of the British Machine Vision Conference (BMVC) 2016 |
Publisher | BMVA Press |
Number of pages | 11 |
Publication status | Published - 2016 |
Event | British Machine Vision Conference - UK, York, United Kingdom Duration: 19 Sept 2016 → 22 Sept 2016 |
Conference
Conference | British Machine Vision Conference |
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Country/Territory | United Kingdom |
City | York |
Period | 19/09/16 → 22/09/16 |
Keywords
- color transfer
- re-coding
- color homography
Profiles
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Graham Finlayson
- School of Computing Sciences - Professor of Computing Science
- Colour and Imaging Lab - Member
Person: Research Group Member, Academic, Teaching & Research
Projects
- 1 Finished
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Colour space homography
Finlayson, G. & Trollope, P.
Engineering and Physical Sciences Research Council
28/02/15 → 27/02/19
Project: Research
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Simple Primary Colour Editing for Consumer Product Images
Gong, H., Yu, L. & Westland, S., 1 Nov 2020, In: Color and Imaging Conference. 28, p. 270-276 7 p.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile1 Citation (Scopus)48 Downloads (Pure) -
3D color homography model for photo-realistic color transfer re-coding
Gong, H., Finlayson, G., Fisher, R. & Fang, F., 13 Mar 2019, In: The Visual Computer. 35, 3, p. 323–333 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Citations (SciVal)47 Downloads (Pure) -
Color homography: Theory and applications
Finlayson, G., Gong, H. & Fisher, R., 1 Jan 2019, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 41, 1, p. 20-33 14 p., 8141909.Research output: Contribution to journal › Article › peer-review
Open AccessFile32 Citations (SciVal)53 Downloads (Pure)