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
2020
- (2020) A Critical Analysis on Perceptual Contrast and its Use in Visual Information Analysis and Processing. IEEE Access. vol. 8.
- (2020) Error reduction through post processing for wireless capsule endoscope video. EURASIP Journal on Image and Video Processing.
- (2020) Caustics and Translucency Perception. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2020) Image Statistics as Glossiness and Translucency Predictor in Photographs of Real-world Objects. CEUR Workshop Proceedings. vol. 2688.
- (2020) On the Nature of Perceptual Translucency. Proceedings of the Workshop on Material Appearance Modeling.
- (2020) Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition. Sensors. vol. 20 (5).
- (2020) Impact of printing surfaces with UV-curable inks on sound absorption. Journal of Print and Media Technology Research. vol. 9 (2).
- (2020) PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. Computer Vision and Image Understanding. vol. 201:103062.
- (2020) Semi-supervised Network for Detection of COVID-19 in Chest CT Scans. IEEE Access. vol. 8.
- (2020) Content-based image quality assessment. International journal of imaging and robotics. vol. 20 (3).
- (2020) Using watermark visibility measurements to select an optimized pair of spot colors for use in a binary watermark. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2020) SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement. Future generations computer systems. vol. 114.
2019
- (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) 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. 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.