Summary
The color gamut of a display is the set of colors that it can reproduce: screens with wider gamuts are capable of presenting more vivid, intense colors. Different display technologies have different gamuts, from the narrow gamut of TV sets to the wide gamut of cinema and the ultra-wide gamut of laser projectors. Gamut mapping is the process of adapting the colors of an image to the gamut of the display where it is shown, and it is an essential process at every step of the imaging chain: cameras perform automatic gamut reduction, in movie postproduction colorists perform gamut mapping manually, and emerging display technologies perform automatic gamut extension. There is a trade-off between speed and quality, and no method, be it automatic or manual, is exempt from issues. One of the research outcomes of the applicant’s ERC Starting Grant IP4EC is a vision-based gamut mapping method that is automatic, of extremely low computational complexity, and produces images and videos that look natural, without any halos, spurious colors or artifacts. The model has been validated confirming that it outperforms state of the art algorithms in terms of users’ preference. A European patent application has been filed. The core idea for this Proof of Concept proposal is to make a series of products that highlight the capabilities of our gamut mapping method on three distinct scenarios: image and video capture, professional post-production of photography and cinema, and image and video display. Specifically, this project will produce, in a B2C commercial approach, a free web application and commercial mobile apps for iOS and Android systems intended for the general public, plus commercial plug-ins for professional movie and photo post-production software. We will formulate a business plan around these products, that also show the potential of our model for other applications for which we intend to license our technology and provide services, in a B2B commercial approach.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/812844 |
| Start date: | 01-08-2018 |
| End date: | 31-01-2020 |
| Total budget - Public funding: | 150 000,00 Euro - 150 000,00 Euro |
Cordis data
Original description
The color gamut of a display is the set of colors that it can reproduce: screens with wider gamuts are capable of presenting more vivid, intense colors. Different display technologies have different gamuts, from the narrow gamut of TV sets to the wide gamut of cinema and the ultra-wide gamut of laser projectors. Gamut mapping is the process of adapting the colors of an image to the gamut of the display where it is shown, and it is an essential process at every step of the imaging chain: cameras perform automatic gamut reduction, in movie postproduction colorists perform gamut mapping manually, and emerging display technologies perform automatic gamut extension. There is a trade-off between speed and quality, and no method, be it automatic or manual, is exempt from issues. One of the research outcomes of the applicant’s ERC Starting Grant IP4EC is a vision-based gamut mapping method that is automatic, of extremely low computational complexity, and produces images and videos that look natural, without any halos, spurious colors or artifacts. The model has been validated confirming that it outperforms state of the art algorithms in terms of users’ preference. A European patent application has been filed. The core idea for this Proof of Concept proposal is to make a series of products that highlight the capabilities of our gamut mapping method on three distinct scenarios: image and video capture, professional post-production of photography and cinema, and image and video display. Specifically, this project will produce, in a B2C commercial approach, a free web application and commercial mobile apps for iOS and Android systems intended for the general public, plus commercial plug-ins for professional movie and photo post-production software. We will formulate a business plan around these products, that also show the potential of our model for other applications for which we intend to license our technology and provide services, in a B2B commercial approach.Status
CLOSEDCall topic
ERC-2018-PoCUpdate Date
27-04-2024
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