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Computer Science

D-Index
55
Citations
12392
World Ranking
4305
National Ranking
188

Overview

Karol Myszkowski is affiliated with the Max Planck Institute for Informatics in Germany. Their research primarily falls within the broad field of Computer Science, with significant contributions across several subfields including Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Atomic and Molecular Physics, and Optics, as well as Cognitive Neuroscience.

The scientist's work focuses on a variety of topics related to image and visual processing. Key areas of research include:

  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Computer Graphics and Visualization Techniques
  • Color Science and Applications
  • Image Processing Techniques and Applications
  • Image and Signal Denoising Methods

Karol Myszkowski has published numerous papers over the years. Selected recent publications exemplify the range and focus of their research:

  • "X-Fields," 2020, ACM Transactions on Graphics
  • "Perceptual model for adaptive local shading and refresh rate," 2021, ACM Transactions on Graphics
  • "The effect of shape and illumination on material perception," 2021, ACM Transactions on Graphics
  • "Revisiting Image Deblurring with an Efficient ConvNet," 2023, arXiv (Cornell University)
  • "Imperceptible manipulation of lateral camera motion for improved virtual reality applications," 2020, ACM Transactions on Graphics

Their co-authorship network includes collaborations with several researchers who have contributed widely alongside them. Frequent coauthors include:

  • Hans-Peter Seidel
  • Mojtaba Bemana
  • Ana Serrano
  • Tobias Ritschel
  • Krzysztof Wolski

The scientist publishes extensively in a limited set of venues, which are notable in the field of computer graphics and imaging. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Computer Graphics Forum
  • Optics Express
  • IEEE Transactions on Visualization and Computer Graphics

Best Publications

  • High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting

    Erik Reinhard;Greg Ward;Summant Pattanaik;Paul Debevec

  • Adaptive Logarithmic Mapping For Displaying High Contrast Scenes

    Frédéric Drago;Karol Myszkowski;Thomas Annen;Norishige Chiba

  • 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

  • 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

  • Perceptual evaluation of tone mapping operators with real-world scenes

    Akiko Yoshida;Volker Blanz;Karol Myszkowski;Hans-Peter Seidel

  • Apparent Greyscale: A Simple and Fast Conversion to Perceptually Accurate Images and Video

    Kaleigh Smith;Pierre-Edouard Landes;Joëlle Thollot;Karol Myszkowski

  • Wide Field Of View Varifocal Near-Eye Display Using See-Through Deformable Membrane Mirrors

    David Dunn;Cary Tippets;Kent Torell;Petr Kellnhofer

  • Visible difference predicator for high dynamic range images

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

  • Fast collision detection between complex solids using rasterizing graphics hardware

    Karol Myszkowski;Oleg G. Okunev;Tosiyasu L. Kunii

  • Articulation simulation for an intelligent dental care system

    Tosiyasu L. Kunii;Jens Herder;Karol Myszkowski;Oleg Okunev

  • A perceptual model for disparity

    Piotr Didyk;Tobias Ritschel;Elmar Eisemann;Karol Myszkowski

  • Perception-guided global illumination solution for animation rendering

    Karol Myszkowski;Takehiro Tawara;Hiroyuki Akamine;Hans-Peter Seidel

  • Perceptual effects in real-time tone mapping

    Grzegorz Krawczyk;Karol Myszkowski;Hans-Peter Seidel

  • The Visible Differences Predictor: applications to global illumination problems

    Karol Myszkowski

  • Rendering Pearlescent Appearance Based On Paint‐Composition Modelling

    Sergey Ershov;Konstantin Kolchin;Karol Myszkowski

  • 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

  • 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

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Rafal Mantiuk
Rafal Mantiuk University of Cambridge
Tobias Ritschel
Tobias Ritschel University College London
Elmar Eisemann
Elmar Eisemann Delft University of Technology
Tosiyasu L. Kunii
Tosiyasu L. Kunii University of Tokyo
Diego Gutierrez
Diego Gutierrez University of Zaragoza
Scott J. Daly
Scott J. Daly Dolby (United States)
Alan Chalmers
Alan Chalmers University of Warwick
Philipp Slusallek
Philipp Slusallek Saarland University

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