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
2018
- (2018) Preferred image quality metric for shifted superimposition-based resolution-enhanced images. Journal of Electronic Imaging (JEI). vol. 27:033017 (3).
- (2018) Detection of Orientation-Modulation Embedded Data in Color Printed Natural Images. Journal of Imaging. vol. 4 (4).
- (2018) Stochastic Capsule Endoscopy Image Enhancement. Journal of Imaging. vol. 4 (6).
- (2018) Variational approach for capsule video frame interpolation. EURASIP Journal on Image and Video Processing. vol. 2018:30.
- (2018) Applicability of a clinical cardiac CT protocol in post mortem studies. Journal of Forensic Radiology and Imaging. vol. 12.
2017
- (2017) On large local error accumulation in multilevel error diffusion. IS&T International Symposium on Electronic Imaging Science and Technology. vol. 2017-January.
- (2017) Data Hiding by White Modulation in Color Direct Binary Search Halftones. Journal of Imaging Science and Technology. vol. 61 (4).
- (2017) Evidence of change blindness in subjective image fidelity assessment. Proceedings of IEEE international conference on image processing.
- (2017) Can no-reference image quality metrics assess visible wavelength iris sample quality?. Proceedings of IEEE international conference on image processing.
- (2017) Sparse coded handcrafted and deep features for colon capsule video summarization. Computer-Based Medical Systems. vol. 2017-June.
- (2017) Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images. Journal of Medical Imaging. vol. 4 (2).
- (2017) No-Reference Quality Measure in Brain MRI Images using Binary Operations, Texture and Set Analysis. IET Image Processing. vol. 11 (9).
- (2017) The spatial statistics of structural magnetic resonance images: application to post-acquisition quality assessment of brain MRI images. Imaging Science Journal. vol. 65 (8).
- (2017) Image Quality Metrics for the Evaluation and Optimization of Capsule Video Endoscopy Enhancement Techniques. Journal of Imaging Science and Technology. vol. 61 (4).
- (2017) Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy. Computational & Mathematical Methods in Medicine. vol. 2017.
- (2017) How different iterative and filtered back projection kernels affect computed tomography numbers and low contrast detectability. Journal of computer assisted tomography. vol. 41 (1).
2016
- (2016) Image Quality Assessment by Comparing CNN Features between Images. Journal of Imaging Science and Technology. vol. 60 (6).
- (2016) Statistical analysis of engraving traces on a 3D digital model of prehistoric stone stelae. Journal of Cultural Heritage. vol. 17.
- (2016) On large local error accumulation in multilevel error diffusion. Journal of Imaging Science and Technology. vol. 60:060403 (6).
- (2016) Orientation Modulation for Data Hiding in Chrominance Channels of Direct Binary Search Halftone Prints. Journal of Imaging Science and Technology. vol. 60 (5).