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RealVision · Project

Next-Generation Imaging That Makes Digital Visuals Look Like Real Life

digitalPrototypeTRL 4Thin data (2/5)
realvision-itn.eu

You know how photos and videos never quite look like what your eyes actually see? Colors are off, bright areas are washed out, and 3D always feels fake. RealVision brought together 22 partners across 8 countries to crack this problem — building imaging technology that captures the full range of light, color, and depth the way your eyes naturally do. Think of it as the jump from standard TV to something so lifelike you can't tell it apart from looking through a window.

By the numbers
22
consortium partners across the imaging value chain
8
countries represented in the network
9
industry partners directly involved in development
41%
industry participation ratio in consortium
20
total project deliverables produced
The business problem

What needed solving

Digital images and video still fall far short of what the human eye actually sees — colors are compressed, brightness range is limited, and 3D feels artificial. This gap costs media companies in post-production time, limits display manufacturers from differentiating products, and holds back immersive applications like AR/VR and simulation where visual fidelity directly impacts usability and safety.

The solution

What was built

The project built a new view extraction demonstrator for generating realistic viewpoints from light field data, a perceptual coding system that compresses light field imagery while preserving visual quality, and organized an Industrial Forum connecting research outputs to industry needs. In total, 20 deliverables were produced across the hyperrealistic imaging pipeline.

Audience

Who needs this

Display manufacturers developing HDR and light field screensFilm and streaming studios pushing for photorealistic visual effectsAR/VR headset companies needing perceptually convincing imageryAutomotive companies building high-fidelity driving simulatorsMedical imaging firms where visual accuracy is safety-critical
Business applications

Who can put this to work

Media & Entertainment
enterprise
Target: Film studios and streaming platforms producing high-end visual content

If you are a media production company struggling with the gap between what cameras capture and what audiences expect — this project developed perceptual coding for light field data and new view extraction tools that let you deliver hyper-realistic visuals with true-to-life color and depth. The consortium included 9 industry partners who helped shape these tools for real production workflows.

Consumer Electronics
enterprise
Target: Display and camera manufacturers developing next-gen products

If you are a display or camera manufacturer trying to differentiate with superior image quality — this project built demonstrators for light field processing and HDR imaging that can be integrated into hardware pipelines. With 22 partners including major optics and computing companies, the technology was designed with hardware constraints in mind.

Automotive & Simulation
mid-size
Target: Companies building driving simulators, AR/VR headsets, or digital twins

If you are developing simulation or AR/VR systems where visual realism directly affects user performance and safety — this project produced methods for perceptually optimized imaging that closes the gap between digital and real scenes. The new view extraction demonstrator enables realistic viewpoint generation critical for immersive environments.

Frequently asked

Quick answers

What would licensing or accessing this technology cost?

The project was an MSCA training network, so IP is distributed across 22 partner institutions. Licensing terms would need to be negotiated with the specific partner holding relevant IP. Contact the coordinator at Danmarks Tekniske Universitet to discuss specific technology access.

Can this technology work at industrial scale in production pipelines?

The project produced a new view extraction demonstrator and perceptual coding methods, suggesting the technology has moved beyond pure theory. However, as a training network (MSCA-ITN), the primary output was trained researchers and proof-of-concept tools rather than production-ready systems. Scaling would require further engineering.

What is the IP situation — can we license specific components?

IP from MSCA-ITN projects typically stays with the host institutions where each early-stage researcher was based. With 22 partners across 8 countries, specific patents or know-how would be held by different consortium members. A freedom-to-operate assessment would be needed for any commercial use.

How does this compare to existing HDR and 3D imaging solutions on the market?

RealVision combined HDR, light field, ultra-high definition, and high framerate imaging into perceptually optimized pipelines — most commercial solutions only address one or two of these. The project's unique angle was grounding the technology in human vision science and psychology, not just engineering specs.

Is the project team still active and available for collaboration?

The project ended in June 2022. However, the 22 partner organizations — including 9 industry partners — remain active in this field. The Industrial Forum deliverable suggests established industry relationships that could facilitate follow-up collaboration.

What concrete tools or software came out of this project?

Based on available project data, key outputs include a perceptual coding system for light field data, a new view extraction demonstrator, and 20 total deliverables covering various aspects of hyperrealistic imaging. The Industrial Forum also produced documented plans for technology transfer.

Consortium

Who built it

The RealVision consortium is unusually well-balanced for a research project, with 9 industry partners making up 41% of the 22-member network — far above typical academic projects. The 8 universities and 4 research centers provide deep scientific expertise in optics, computer science, and human vision, while industry partners ground the work in commercial reality. Spanning 8 countries including major imaging markets (Germany, France, Denmark, UK, plus North American partners in US and Canada), the network covers the full imaging pipeline from capture to display. The organized Industrial Forum deliverable signals active effort to bridge research outputs to commercial use. For a business looking to partner, the strongest entry points are likely the industry consortium members who already understand both the science and market needs.

How to reach the team

Danmarks Tekniske Universitet (DTU), Denmark — search for RealVision project coordinator in DTU's Compute or Electro departments

Order a report on this consortiumSee DANMARKS TEKNISKE UNIVERSITET profile →
Next steps

Talk to the team behind this work.

Want to explore licensing hyperrealistic imaging IP from this consortium? SciTransfer can identify the right partner and arrange introductions.

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