- Rafał Mantiuk
- Reader in Graphics and Displays
- Department of Computer Science and Technology
- The Computer Laboratory
- Rainbow Research Group
- University of Cambridge
- Office address
- University of Cambridge
- Computer Laboratory
- William Gates Building
- 15 JJ Thomson Avenue
- Cambridge CB3 0FD
- United Kingdom
- office: +44 1223 763831
- rafal [dot] mantiuk [at] cl [dot] cam [dot] ac [dot] uk
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Applied visual perception; high dynamic range imaging; display algorithms; tone-mapping; video coding for new display technologies; image and video quality metric; visibility metrics; virtual reality and low-level perception; computational photography; computational displays; novel display technologies; colour; perception in computer graphics; novel image and video representations (beyond 2D); psychophysics; modeling visual perception with machine learning.
- Senior Lecturer, University of Cambridge, Computer Laboratory, UK (from 2015)
- Lecturer / Senior Lecturer, Bangor University, School of Computer Science, UK (2009-2015)
- Postdoc Fellow, University of British Columbia, Canada (2008-2009)
- Postdoc, Max-Planck-Institut for Computer Science, Germany (2007-2008)
- Internship, Sharp Laboratories of America, Camas WA, USA (2006)
- PhD (summa cum laude, Computer Science), Max-Planck-Institut for Computer Science, Germany (2006)
- Msc (Computer Science), Technical University of Szczecin, Poland (2003)
Saturated pixels are reconstructed from a single low-dynamic range exposure with the help of a deep convolutional neural network.
We investigate whether 2D quality metrics can predict the distortions that can be found in light field applications.
The report contains a review of recent video tone mapping operators, oulining the most important trends and characteristics of the proposed methods.
See more projects.
- Psychometric scaling of TID2013 dataset
Aliaksei Mikhailiuk, María Pérez-Ortiz and Rafal mantiuk.
In: International Conference on Quality of Multimedia Experience (QoMEX 2018), 2018
- Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
Jing Li, Rafał K. Mantiuk and Junle Wang.
In: Proc. of Neural Information Processing Systems (NIPS), 2018
- Exploiting the limitations of spatio-temporal vision for more efficient VR rendering
Gyorgy Denes, Kuba Maruszczyk, Rafał K. Mantiuk.
In: SIGGRAPH '18 ACM SIGGRAPH 2018 Posters, 2018
- Trained perceptual transform for quality assessment of high dynamic range images and video
Nanyang Ye, María Pérez Ortiz, Rafał K. Mantiuk.
In: Proc. of IEEE International Conference on Image Processing (ICIP'18), 2018
- System and method for real-time tone-mapping
Jonas Unger, Gabriel Eilertsen and Rafal Mantiuk.
In: WO2017035661A1, 2016
See all papers.
Awards and grants
- ERC Consolidator Grant (2017) - Perceptual encoding of high fidelity light fields
- MSCA Innovative Training Network (2018) - RealVision: Hyper-realistic Visual Experience
- EPSRC research grant (2017) - A spatio-chromatic colour appearance model for retargeting high-dynamic-range image appearance across viewing conditions
- HPC Wales Research and Innovation grant (2013/14) - Video retargeting for delivery to mobile and future display technologies
- Royal Society Research Grant (2013) - Limiting factors of perceptual image fidelity
- EPSRC grant EP/I006575/1 (2011) - Quantifying image quality in computer graphics
- Heinz Billing Award 2006
My contribution to the organization of research networks and conferences can be found here.