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.
Emner
- DT8121 - Colour Imaging
- IMT4205 - Forprosjekt
- IDIG3001 - Project Work for Exchange Bachelor Students
- IIKG3010 - Project Work for Exchange Bachelor Students
- MACS4000 - Forprosjekt (Applied Computer Science)
- IMT2363 - Colour Management and Image Quality
- IMT4135 - Introduction to Research on Colour and Visual Computing
- IMT4461 - Project Work for Exchange Master Students
- IMT4895 - Specialisation in Colour Imaging
- IDIG4001 - Project Work for Exchange Master Students
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
2022
- (2022) Modification and evaluation of the peripheral contrast sensitivity function models. Optical Society of America. Journal A: Optics, Image Science, and Vision (JOSA A). vol. 39 (9).
- (2022) Effect of hue shift towards robustness of convolutional neural networks. IS&T International Symposium on Electronic Imaging Science and Technology.
- (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. vol. 15 (9).
- (2022) What Elevation Makes 2.5D Prints Perceptually Natural?. Materials. vol. 15 (10).
- (2022) Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives. Digital signal processing (Print). vol. 127.
- (2022) Image quality and perception: introduction. Journal of the Optical Society of America A. vol. 39 (6).
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.