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
2020
- (2020) Error reduction through post processing for wireless capsule endoscope video. EURASIP Journal on Image and Video Processing.
- (2020) Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition. Sensors. vol. 20 (5).
- (2020) Content-based image quality assessment. International journal of imaging and robotics. vol. 20 (3).
- (2020) SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement. Future generations computer systems.
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) Do Contrast Measures Correlate? A Pilot Investigation. European Workshop on Visual Information Processing. vol. 2019-October.
- (2019) How Do Image Quality Metrics Perform on Contrast Enhanced Images?. European Workshop on Visual Information Processing. vol. 2019-October.
- (2019) Automated salamander recognition using deep neural networks and feature extraction. NIKT: Norsk IKT-konferanse for forskning og utdanning.
- (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). vol. 2019.
- (2019) Material Appearance: Ordering and Clustering. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2019) Perceived Glossiness: Beyond Surface Properties. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) Impact of Shape on Apparent Translucency Differences. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) SHORT-TERM MEMORY EFFECTS IN SUBJECTIVE IMAGE QUALITY ASSESSMENT OFNATURAL IMAGE. European Workshop on Visual Information Processing.
- (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. NIKT: Norsk IKT-konferanse for forskning og utdanning.
- (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).