World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5292
World Ranking
12125
National Ranking
39

Overview

Jon Yngve Hardeberg is affiliated with the Norwegian University of Science and Technology in Norway. Their research is primarily situated within the fields of Computer Science and Engineering, with significant expertise in several specialized subfields including Computer Vision and Pattern Recognition, Atomic and Molecular Physics and Optics, Archeology, Media Technology, and Aerospace Engineering.

The scientist's main topics of work encompass a variety of areas related to color science and imaging, notably:

  • Color Science and Applications
  • Cultural Heritage Materials Analysis
  • Remote-Sensing Image Classification
  • Conservation Techniques and Studies
  • Infrared Target Detection Methodologies
  • Color perception and design
  • Image Enhancement Techniques

Hardeberg has contributed to numerous recent papers, demonstrating involvement in both fundamental and applied aspects of visual perception, materials analysis, and sensor technologies. Some of their recent publications include:

  • "Translucency perception: A review," 2021, Journal of Vision
  • "Perovskite Color Detectors: Approaching the Efficiency Limit," 2020, ACS Applied Materials & Interfaces
  • "Vertically Stacked Perovskite Detectors for Color Sensing and Color Vision," 2020, Advanced Materials Interfaces
  • "Three Perceptual Dimensions for Specular and Diffuse Reflection," 2020, ACM Transactions on Applied Perception
  • "Standardization of digitized heritage: a review of implementations of 3D in cultural heritage," 2023, Heritage Science

The researcher has published extensively in venues focused on imaging, color, and cultural heritage analysis. The most frequent publication venues include:

  • Color and Imaging Conference
  • Heritage Science
  • Archiving Conference
  • Sensors
  • Electronic Imaging

Throughout their career, Hardeberg has collaborated regularly with several co-authors, indicating active research partnerships. Frequent co-authors include Sony George, Davit Gigilashvili, Aditya Suneel Sole, Irina-Mihaela Ciortan, and Yoko Arteaga.

Best Publications

  • Acquisition and Reproduction of Color Images: Colorimetric and Multispectral Approaches

    Jon Y. Hardeberg

  • Multispectral color image capture using a liquid crystal tunable filter

    Jon Yngve Hardeberg;Jon Yngve Hardeberg;Francis J. M. Schmitt;Hans Brettel

  • Deep Hyperspectral Prior: Single-Image Denoising, Inpainting, Super-Resolution

    Oleksii Sidorov;Jon Yngve Hardeberg

  • Red-eye removal using color image processing

    Jon Y. Hardeberg

  • Combining deep learning and hand-crafted features for skin lesion classification

    Tomas Majtner;Sule Yildirim-Yayilgan;Jon Yngve Hardeberg

  • Characterization of trichromatic color cameras by using a new multispectral imaging technique

    Vien Cheung;Stephen Westland;Changjun Li;Jon Hardeberg

  • Spectral characterization of electronic cameras

    Jon Yngve Hardeberg;Hans Brettel;Francis J. M. Schmitt

  • Spectrophotometric Image Analysis of Fine Art Paintings.

    Henri Maître;Francis J. M. Schmitt;Jean-Pierre Crettez;Yifeng Wu

  • Attributes of image quality for color prints

    Marius Pedersen;Nicolas Bonnier;Jon Yngve Hardeberg;Fritz Albregtsen

  • Towards automatic redeye effect removal

    B. Smolka;K. Czubin;J. Y. Hardeberg;K. N. Plataniotis

  • Multispectral Image Acquisition and Simulation of Illuminant Changes

    Jon Yngve Hardeberg;Francis Schmitt;Hans Brettel;Jean-Pierre Crettez

  • CID:IQ – A New Image Quality Database

    Xinwei Liu;Marius Pedersen;Jon Yngve Hardeberg

  • A Comprehensive Evaluation of Spectral Distance Functions and Metrics for Hyperspectral Image Processing

    Hilda Deborah;Noel Richard;Jon Yngve Hardeberg

  • Measuring perceptual contrast in digital images

    Gabriele Simone;Marius Pedersen;Jon Yngve Hardeberg

  • Multispectral image capture using a tunable filter

    Jon Yngve Hardeberg;Francis J. M. Schmitt;Hans Brettel

  • Perceptual evaluation of color gamut mapping algorithms

    Fabienne Dugay;Ivar Farup;Jon Yngve Hardeberg

  • Full-Reference Image Quality Metrics

    Marius Pedersen;Jon Yngve Hardeberg

  • Survey of full-reference image quality metrics

    Marius Pedersen;Jon Yngve Hardeberg

  • On the spectral dimensionality of object colours.

    Jon Yngve Hardeberg

  • The PLVC display color characterization model revisited

    Jean-Baptiste Thomas;Jean-Baptiste Thomas;Jon Y. Hardeberg;Irène Foucherot;Pierre Gouton

  • Evaluating colour image difference metrics for gamut‐mapped images

    Jon Yngve Hardeberg;Eriko Bando;Marius Pedersen

  • A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization

    S. Le Moan;A. Mansouri;Y. Voisin;J. Y. Hardeberg

  • Illuminant estimation in multispectral imaging.

    Haris Ahmad Khan;Jean-Baptiste Thomas;Jon Yngve Hardeberg;Olivier Laligant

  • Full-Reference Image Quality Metrics: Classification and Evaluation (Foundations and Trends in Computer Graphics and Vision)

    Marius Pedersen;Jon Yngve Hardeberg

Frequent Co-Authors

Reiner Eschbach
Reiner Eschbach Norwegian University of Science and Technology
Karl R. Gegenfurtner
Karl R. Gegenfurtner University of Giessen
Alberto Salleo
Alberto Salleo Stanford University
Alessandro Rizzi
Alessandro Rizzi University of Milan
Konstantinos N. Plataniotis
Konstantinos N. Plataniotis University of Toronto
Dietmar Knipp
Dietmar Knipp Stanford University
Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Robert Jenssen
Robert Jenssen University of Tromsø - The Arctic University of Norway
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
George T.-C. Chiu
George T.-C. Chiu Purdue University West Lafayette

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

Studying Computer Science in the USA opens doors to many related online degree options and versatile career paths. Those interested in a cross-disciplinary approach may consider programs like the cheapest online environmental science degree, which blends technology with environmental problem-solving skills.

For students drawn to the intersection of hardware and software, exploring the cheapest online mechanical engineering degree can be a strategic choice, offering knowledge applicable in robotics, automation, and product design.

Additionally, an online physics degree can provide a strong foundation in analytical thinking and mathematical modeling—skills highly valued in computer science and related tech fields.

For those eyeing careers in big data or machine learning, pursuing the cheapest data science masters in usa offers a focused pathway into some of today's fastest-growing industries.

By considering these affordable and flexible online degree options, students can tailor their studies to unique career interests while keeping educational costs manageable.

Best Scientists Citing Jon Yngve Hardeberg

Trending Scientists