Marius Pedersen
Background and activities
Marius Pedersen received his BsC in Computer Engineering in 2006, and MiT in Media Technology in 2007, both from Gjøvik University College, Norway. He completed a PhD program in color imaging in 2011 from the University of Oslo, Norway, sponsored by Océ. He is professor at the Department of Computer Science at NTNU in Gjøvik, Norway. He is also the director of the Norwegian Colour and Visual Computing Laboratory (Colourlab). His work is centered on subjective and objective image quality.
Courses
- IMT4461 - Project Work for Exchange Master Students
- IDIG4001 - Project Work for Exchange Master Students
- IMT4895 - Specialisation in Colour Imaging
- IMT2363 - Colour Management and Image Quality
- DT8121 - Colour Imaging
- IDIG3001 - Project Work for Exchange Bachelor Students
- IMT4135 - Introduction to Research on Colour and Visual Computing
- IMT4205 - Research Project Planning
- IIKG3010 - Project Work for Exchange Bachelor Students
- IMT3017 - Computer Vision
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
2022
- (2022) Exploring the role of caustics in translucency perception — An eye tracking approach. IS&T International Symposium on Electronic Imaging Science and Technology. vol. 34.
- (2022) The Impact of Optical and Geometrical Thickness on Perceived Translucency Differences. Journal of Perceptual Imaging (JPI). vol. 5.
- (2022) Effect of Elevation and Surface Roughness on Naturalness Perception of 2.5D Decor Prints. Materials.
- (2022) What Elevation Makes 2.5D Prints Perceptually Natural?. Materials.
- (2022) Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives. Digital signal processing (Print). vol. 127.
2021
- (2021) Image Quality Assessment without Reference by Combining Deep Learning-Based Features and Viewing Distance. Applied Sciences. vol. 11 (10).
- (2021) Impact of Colour on Robustness of Deep Neural Networks. IEEE International Conference on Computer Vision Workshop (ICCVW).
- (2021) The Role of Subsurface Scattering in Glossiness Perception. ACM Transactions on Applied Perception. vol. 18 (3).
- (2021) Translucency perception: A review. Journal of Vision. vol. 21 (8:4).
- (2021) On the appearance of objects and materials: Qualitative analysis of experimental observations. Journal of the International Colour Association. vol. 27.
- (2021) Perceptual Navigation in Absorption-Scattering Space. Color and Imaging Conference (CIC).
- (2021) Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics. Applied Sciences. vol. 11 (16).
- (2021) Influence of acquisition parameters on pigment classification using hyperspectral imaging. Journal of Imaging Science and Technology. vol. 65 (5).
- (2021) Three-stage segmentation of lung region from CT images using deep neural networks. BMC Medical Imaging. vol. 21 (112).
- (2021) Colourlab Image Database: Geometric Distortions. Color and Imaging Conference (CIC).
- (2021) Photo Identification of Individual Salmo trutta Based on Deep Learning. Applied Sciences. vol. 11 (19).
- (2021) A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy. European Workshop on Visual Information Processing.
- (2021) CMYK-CIELAB Color Space Transformation Using Machine Learning Techniques. London Imaging Meeting (LIM).
- (2021) The Impact of Using Different Color Spaces in Histological Image Classification using Convolutional Neural Networks. European Workshop on Visual Information Processing.