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.
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
2019
- (2019) Future Directions in Image Quality. Final program and proceedings (Color and Imaging Conference).
- (2019) Comparing the Chromatic Contrast Sensitivity in Vertical and Oblique Orientations. Final program and proceedings (Color and Imaging Conference).
- (2019) Automated salamander recognition using deep neural networks and feature extraction. NIK: Norsk Informatikkonferanse.
- (2019) An Evaluation of Colour-to-Greyscale Image Conversion by Linear Anisotropic Diffusion and Manual Colour Grading. Final program and proceedings (Color and Imaging Conference).
- (2019) Material Appearance: Ordering and Clustering. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2019) Impact of Shape on Apparent Translucency Differences. Final program and proceedings (Color and Imaging Conference).
- (2019) Measurement of CIELAB spatio-chromatic contrast sensitivity in different spatial and chromatic directions. Final program and proceedings (Color and Imaging Conference).
- (2019) A Three-Feature Model to Predict Colour Change Blindness. Vision. vol. 3 (61).
- (2019) How re-training process affect the performance of no-reference image quality metric for face images. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2019) StreoScenNet: Surgical stereo robotic scene segmentation. Progress in Biomedical Optics and Imaging. vol. 1095:109510P1.
- (2019) An automatic image-based system for detecting wild and stocked fish. NIK: Norsk Informatikkonferanse.
- (2019) Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images. Journal of Imaging. vol. 5 (1).
2018
- (2018) Reviving traditional image quality metrics using CNNs. Final program and proceedings (Color and Imaging Conference). vol. 26.
- (2018) Behavioral Investigation of Visual Appearance Assessment. Final program and proceedings (Color and Imaging Conference).
- (2018) Blurring Impairs Translucency Perception. Final program and proceedings (Color and Imaging Conference).
- (2018) Preferred image quality metric for shifted superimposition-based resolution-enhanced images. Journal of Electronic Imaging (JEI). vol. 27 (3).
- (2018) UV Watermarking of Images in Clustered Dot Scenarios. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2018) Detection of Orientation-Modulation Embedded Data in Color Printed Natural Images. Journal of Imaging. vol. 4 (4).
- (2018) Study on color space for the performance of degraded face image recognition. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2018) Performance evaluation of no-reference image quality metrics for face biometric images. Journal of Electronic Imaging (JEI). vol. 27 (2).