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Gamut mapping technology based on vision models

Project description

Pioneering automated gamut mapping for web, mobile and professional use

Consumers demand increasingly realistic displays of images and video whether on their cell phones, televisions or the big screen. When the colours to be reproduced lie outside the gamut or capabilities of the display system, gamut mapping is used to modify the original colours and optimise the display. The EU-funded GAMMAVISION project is producing a range of products that showcase the team’s previously developed automatic, vision-based gamut mapping method shown to outperform state-of-the-art algorithms in terms of users’ preference. The outcomes will include a free web application and commercial mobile apps for iOS and Android systems as well as commercial plug-ins for professional movie and photo post-production software.

Objective

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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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-POC - Proof of Concept Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2018-PoC

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Host institution

UNIVERSIDAD POMPEU FABRA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 150 000,00
Address
PLACA DE LA MERCE, 10-12
08002 Barcelona
Spain

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Region
Este Cataluña Barcelona
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 150 000,00

Beneficiaries (1)

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