World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9770
World Ranking
6446
National Ranking
388

Overview

Rafal Mantiuk is affiliated with the University of Cambridge in the United Kingdom. Their research contributions are primarily situated within the field of Computer Science, with a significant focus on Computer Vision and Pattern Recognition.

The scientist has published extensively on topics related to color science, image enhancement, and visual perception. Some of the main topics covered in their work include:

  • Color Science and Applications
  • Image Enhancement Techniques
  • Visual perception and processing mechanisms
  • Image and Video Quality Assessment
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Color perception and design

Rafal Mantiuk's publication record comprises multiple papers across notable venues, showing a consistent engagement with graphics and vision-related research. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Electronic Imaging
  • Color and Imaging Conference
  • Apollo (University of Cambridge)

Among recent papers authored or co-authored by Mantiuk are:

  • FovVideoVDP, 2021, ACM Transactions on Graphics
  • Spatio-chromatic contrast sensitivity under mesopic and photopic light levels, 2020, Journal of Vision
  • stelaCSF, 2022, ACM Transactions on Graphics
  • A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution, 2020, ACM Transactions on Graphics
  • Perceptual model for adaptive local shading and refresh rate, 2021, ACM Transactions on Graphics

The scientist frequently collaborates with other researchers, with several co-authors appearing multiple times in their publication history. Notable frequent co-authors include:

  • Maliha Ashraf
  • Alexandre Chapiro
  • Param Hanji
  • Sophie Wuerger
  • Jasna Martinović

The breadth of topics and venues indicates a multidisciplinary approach that bridges areas such as atomic and molecular physics, cognitive neuroscience, and media technology alongside core computer vision tasks. This highlights the integration of perceptual models and imaging techniques with both theoretical and applied research objectives.

Best Publications

  • HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions

    Rafał Mantiuk;Kil Joong Kim;Allan G. Rempel;Wolfgang Heidrich

  • HDR image reconstruction from a single exposure using deep CNNs

    Gabriel Eilertsen;Joel Kronander;Gyorgy Denes;Rafał K. Mantiuk

  • Display adaptive tone mapping

    Rafał Mantiuk;Scott Daly;Louis Kerofsky

  • A perceptual framework for contrast processing of high dynamic range images

    Rafal Mantiuk;Karol Myszkowski;Hans-Peter Seidel

  • Dynamic range independent image quality assessment

    Tunç Ozan Aydin;Rafał Mantiuk;Karol Myszkowski;Hans-Peter Seidel

  • Predicting visible differences in high dynamic range images : Model and its calibration

    Rafal Mantiuk;Scott J. Daly;Karol Myszkowski;Hans-Peter Seidel

  • Comparison of Four Subjective Methods for Image Quality Assessment

    Rafał K. Mantiuk;Anna Tomaszewska;Radosław Mantiuk

  • Backward compatible high dynamic range MPEG video compression

    Rafał Mantiuk;Alexander Efremov;Karol Myszkowski;Hans-Peter Seidel

  • Perception-motivated high dynamic range video encoding

    Rafal Mantiuk;Grzegorz Krawczyk;Karol Myszkowski;Hans-Peter Seidel

  • HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images

    Manish Narwaria;Rafal K. Mantiuk;Mattheiu Perreira Da Silva;Patrick Le Callet

  • Extending Quality Metrics to Full Luminance Range Images

    Tunc Ozan Aydin;Rafał Mantiuk;Hans-Peter Seidel

  • Near-Eye Display and Tracking Technologies for Virtual and Augmented Reality

    George Alex Koulieris;Kaan Akşit;Michael Stengel;Rafał Mantiuk

  • Color correction for tone mapping

    R. Mantiuk;A. Tomaszewska;W. Heidrich

  • Optimizing a Tone Curve for Backward-Compatible High Dynamic Range Image and Video Compression

    Zicong Mai;H Mansour;R Mantiuk;P Nasiopoulos

  • Visible difference predicator for high dynamic range images

    R. Mantiuk;K. Myszkowski;H.-P. Seidel

  • FovVideoVDP: a visible difference predictor for wide field-of-view video

    Rafał K. Mantiuk;Gyorgy Denes;Alexandre Chapiro;Anton Kaplanyan

  • Evaluation of tone mapping operators for HDR video

    Gabriel Eilertsen;Robert Wanat;Rafał K. Mantiuk;Jonas Unger

  • HIGH DYNAMIC RANGE CODEC

    Alexander Efremov;Rafal Mantiuk;Grzegorz Krawczyk;Karol Myszkowski

  • Towards a Quality Metric for Dense Light Fields

    Vamsi Kiran Adhikarla;Marek Vinkler;Denis Sumin;Rafal K. Mantiuk

  • A comparative review of tone-mapping algorithms for high dynamic range video

    G. Eilertsen;R. K. Mantiuk;J. Unger

  • Backward Compatible High Dynamic Range MPEG Video Compression

    Rafał Mantiuk;Alexander Efremov;Karol Myszkowski;Hans-Peter Seidel

  • High Dynamic Range Imaging

    Rafał K. Mantiuk;Karol Myszkowski;Hans-Peter Seidel

  • Predicting Visible Differences in High Dynamic Range Images - Model and its Calibration

    Rafal Mantiuk;Scott Daly;Karol Myszkowski;Hans-Peter Seidel

Frequent Co-Authors

Karol Myszkowski
Karol Myszkowski Max Planck Institute for Informatics
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Scott J. Daly
Scott J. Daly Dolby (United States)
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Frederic Dufaux
Frederic Dufaux CentraleSupélec
Giovanni Ramponi
Giovanni Ramponi University of Trieste
Louis Joseph Kerofsky
Louis Joseph Kerofsky Qualcomm (United States)
Anthony Steed
Anthony Steed University College London
Michael S. Landy
Michael S. Landy New York University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a variety of rewarding online degree options and career pathways in technology, management, and research. Many students enhance their tech foundation by pursuing graduate or professional online programs tailored to diverse interests.

For those interested in leadership and business roles within the tech sector, an emba online program offers advanced management skills and business insight. Those passionate about information systems and digital resource management might consider mlis programs to gain expertise in library and information science.

Cost is a key concern for many students; fortunately, there is a growing list of inexpensive masters degrees that make further study accessible. Tech professionals aiming for higher-level leadership can explore a doctorate in leadership online to develop strategic expertise.

These online degrees not only complement a Computer Science background but also expand your skill set, making you competitive for a wide range of career opportunities.

Best Scientists Citing Rafal Mantiuk

Trending Scientists

Recently Published Articles