How To Make A Colour Computer At A Lab In Norway

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Fargelaboratoriet og samarbeid med partnervirksomheter Jon Yngve Hardeberg Professor, The Norwegian Colour and Visual Computing Laboratory Faculty of Computer Science and Media Technology NTNU, Gjøvik, Norway jon.hardeberg@ntnu.no http://www.colourlab.no 4/29/2016

The Norwegian Colour and Visual Computing Laboratory Quick history: Established at Gjøvik University College (GUC) in 2001 to serve the graphic arts industry s need for colour management In 2012 the name changed from The Norwegian Color Research Laboratory to The Norwegian Colour and Visual Computing Laboratory. 2016 joining NTNU Well equipped laboratory facilites Colour and spectral measurement, Colour management software, viewing booths, image acquisition and reproduction devices, etc. >200m2 Research group at Faculty of Computer Science and Media Technology at NTNU 43 members 7 permanent staff members 14 temporary, post doc, visiting, and adjunct faculty 3 associated members 19 PhD students A center for fundamental and applied research within colour science, imaging, and image/video processing Education Courses and projects to media bachelors and Master of Applied Computer Science Erasmus+ Erasmus Mundus Joint Master s Degree COSI (Color in Science & Industry) International Erasmus Mundus master CIMET (Color in Informatics and Media Technology) French-Norwegian master programme: 3D Multimedia Technology Master programme with South China University of Technology in printing. International, national, and regional collaboration with industry and academia Successful in attracting external funding Website: http://www.colourlab.no

Permanent faculty Professor Jon Y. Hardeberg Multispectral color imaging Cultural heritage imaging Associate Professor Peter Nussbaum Colour management Print quality Associate Professor Marius Pedersen (lab director) Image quality Print Quality Professor Ivar Farup Colorimetry Spatial gamut mapping Colour image processing Associate professor Faouzi Alaya Cheikh Video and image processing Compression Quality Professor Phil Green Colour management

RESEARCH OVERVIEW «FROM MUNCH TO PILL CAMERAS» (OA 8.1.2016)

The existential research question: How can we achieve consistent colour image reproduction in different media?

Graphic arts industry Colour management Nussbaum and Hardeberg, Print Quality Evaluation and Applied Colour Management in Coldset Offset Newspaper Print. CR&A, 2012. Print quality evaluation Nussbaum, Hardeberg, Skarsbø, Svein Erik. Print quality evaluation for governmental purchase decisions. Advances in Printing Science and Technology, 2006. PSO colour certification Certifying the Norwegian printing industry according to the UGRA system of PSO Certification. Since 2007. www.colourlab.no/psoinfo

Media technology industry Display technology Pedersen and Bakke. Seam carving for multi-projector displays. International conference on Pervasive Computing, Signal Processing and Applications, 2011. Movie production Drylab R&D (2006-2008) Bakke, Hardeberg, and Paul. Simulation of film media in motion picture production using a digital still camera. Image Quality and System Performance VI, 2009. Redeye correction George, Hardeberg, George and Nampoori. Automatic Redeye Correction Algorithm with Multilevel Eye Confirmation. Journal of Imaging Science and Technology, 2010. Videoconferencing Simon-Liedtke, Husøy, Hardeberg. Pixel-Wise Illuminant Estimation for Mixed Illuminant Scenes based on Near-Infrared Information,. Color and Imaging Conference (CIC), 2014.

Computer vision Bottle recycling automata Tomra 2004, 2007-2008 Coffee bean sorting Le Moan, Amin, Pérez, Voisin, Hardeberg. Convex Objects Recognition and Classification Using Spectral and Morphological Descriptors. CGIV 2010

Video surveillance Compression Guraya, Cheikh, and Medina. A Novel Visual Saliency model for surveillance video compression. SITIS, 2011 Saliency Guraya and Cheikh. Visual Saliency in Video Surveillance Applications. Workshop on Visual Signal Processing and Analysis, 2008. Detection and tracking of objects Cheikh, Saha, Rudakova, and Peng. Multi-people tracking across multiple cameras. IJNCAA, 2012. Guraya, Bayle, Cheikh. People Tracking via a Modified CAMSHIFT Algorithm. DCABES, 2009. Face recognition Boisier, Billiot, Abdessalem, Gouton, Hardeberg. Extraction and fusion of spectral parameters for face recognition. Image Processing: Machine Vision Applications, 2011.

Cultural heritage imaging In-painting Oncu, Hardeberg and Deger. Evaluation of Digital Inpainting Quality in the Context of Artwork Restoration. ECCV, 2012. Lost art reclamation Computer-Aided Reclamation of Lost Art. Demetriou, Hardeberg and Adelman. ECCV, 2012. Film restoration Islam and Farup. Spatio-temporal colour correction of strongly degraded movies. Color Imaging XVI, 2011 Pigment identification Deborah, George, Hardeberg. Pigment Mapping of the Scream (1893) Based on Hyperspectral Imaging. ICISP, 2014

Colour and quality in medical imaging Capsule video endoscopy In collaboration with Innlandet Hospital Image Quality in CT In collaboration with Oslo University Hospital Video guided surgery In collaboration with Oslo University Hospital Skin imaging In collaboration with VU Medical Center, Amsterdam, and others

Image quality and image difference Metrics Imran and Cheikh. Blind Image Quality Metric For Blackboard Lecture Images. EUSIPCO, 2010. Pedersen. Image quality metrics for the evaluation of printing workflows. PhD thesis, 2011 Simone, Caracciolo, Pedersen, and Cheikh. Evaluation of a Difference of Gaussians Based Image Difference Metric in Relation to Perceived Compression Artifacts. Advances in Visual Computing, 2010. Psychophysical experiments Anderson, Gupta and Hardeberg. Subjective evaluations of examplebased, total variation, and joint regularization for image processing. Computational Imaging X: Enhancement, Denoising, and Restoration II, 2012 Dugay, Farup and Hardeberg. Perceptual Evaluation of Color Gamut Mapping Algorithms. CR&A, 2008. Many Human visual system models Quality calculation Fewer Pooling Quality value

Improving maps for color deficient users Daltonization Simon-Liedtke and Hardeberg. Task-Based Accessibility Measurement of Daltonization Algorithms for Information Graphics. 12th Congress of the International Colour Association (AIC), 2013. Colour deficiency

Colour Printing 7.0: Next Generation Multi-Channel Printing 4 year training and research project (2011-2015) ITN - Initial Training Network, EU FP7, Marie Curie Actions Network of European Universities, Research institutes, and companies Coordinated by Gjøvik University College, Prof. J. Y. Hardeberg http://www.cp70.org Funding of 7 PhD students and 2 postdocs Research and training activities Appx 2.16 MEUR, 17 MNOK from the EU A breakthrough for the Colourlab (and GUC) «Høgskoleforskning i verdensklasse» (Forskerforum 10.4.12) «Ikke hverdagskost» (OA, 11.12.12)

Measuring and Understanding Visual Appearance From colour to appearance FRIPRO Toppforsk project 25 million NOK over 5 years (2016-2021), funded by the Research Council of Norway and NTNU in Gjøvik Starting summer 2016-2021. One of only six TOPPFORSK projects at NTNU Two PhD students and three post doctoral researchers Research council: «Toppforsk satser på fagmiljøer med stort potensial». «Bygge opp internasjonalt ledende forskningsmiljø» Four excellent international research partners

Colourlab: what s next (2016)? Opportunities and challenges in NTNU reorganization Keep applying for external funding Broad and deep: from fundamental research to research driven innovation Collaboration cross-sector, cross-border, crossdiscipline