Marius Pedersen
Bakgrunn og aktiviteter
Marius Pedersen har en bachelor i ingeniørfag, data (2006) og har en master i teknologi, medieteknikk (2007), begge fra Høgskolen i Gjøvik. Han mottak sin PhD i fargebildeteknologi fra Universitet i Oslo i 2011. Marius er Professor ved Institutt for Datateknologi og Informatikk ved NTNU i Gjøvik. Han er også leder for Norsk laboratorium for farge og visuell prosessering (Fargelaboratoriet). Hans arbeid er rettet mot kvalitetsvurdering av bilder, spesielt ved bruk av algoritmer.
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
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).