Blar i NTNU Open på forfatter "Farup, Ivar"

Viser treff 41-60 av 76

    • Investigating the Kokhanovsky snow reflectance model in closerange spectral imaging 

      Nguyen, Mathieu; Thomas, Jean Baptiste; Farup, Ivar (Chapter, 2021)
      The internal structure of the snow and its reflectance function play a major contribution in its appearance. We investigate the snow reflectance model introduced by Kokhanovsky and Zege in a close-range imaging scale. By ...

    • Joint demosaicing of colour and polarisation from filter arrays 

      Spote, Alexandra; Lapray, Pierre-Jean; Thomas, Jean Baptiste; Farup, Ivar (Chapter, 2021)
      This article considers the joint demosaicing of colour and polarisation image content captured with a Colour and Polarisation Filter Array imaging system. The Linear Minimum Mean Square Error algorithm is applied to this ...

    • Machine Learning Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images 

      Prieur, Colin; Rabatel, Antoine; Thomas, Jean Baptiste; Farup, Ivar; Chanussot, Jocelyn (Peer reviewed; Journal article, 2022)
      Documenting the inter-annual variability and the long-term trend of the glacier snow line altitude is highly relevant to document the evolution of glacier mass changes. Automatically identifying the snow line on glaciers ...

    • Mapping Quantitative Observer Metamerism of Displays 

      Trumpy, Giorgio; Andersen, Casper Find; Farup, Ivar; Elezabi, Omar (Journal article; Peer reviewed, 2023)
      Observer metamerism (OM) is the name given to the variability between the color matches that individual observers consider accurate. The standard color imaging approach, which uses color-matching functions of a single ...

    • Measurement and rendering of complex non-diffuse and goniochromatic packaging materials 

      Sole, Aditya Suneel; Guarnera, Giuseppe Claudio; Farup, Ivar; Nussbaum, Peter (Peer reviewed; Journal article, 2020)
      Realistic renderings of materials with complex optical properties, such as goniochromatism and non-diffuse reflection, are difficult to achieve. In the context of the print and packaging industries, accurate visualisation ...

    • Measuring the Optical Properties of Highly Diffuse Materials 

      Nguyen, Mathieu; Thomas, Jean-Baptiste Denis; Farup, Ivar (Peer reviewed; Journal article, 2023)
      Measuring the optical properties of highly diffuse materials is a challenge as it could be related to the white colour or an oversaturation of pixels in the acquisition system. We used a spatially resolved method and adapted ...

    • Multi-level contrast filtering in image difference metrics 

      Simone, Gabriele; Pedersen, Marius; Farup, Ivar; Oleari, Claudio (Journal article; Peer reviewed, 2013)
      In this paper, we present a new metric to estimate the perceived difference in contrast between an original image and a reproduction. This metric, named weighted-level framework Δ E E (WLF-DEE), implements a multilevel ...

    • Multiscale daltonization in the gradient domain 

      Simon-Liedtke, Joschua Thomas; Farup, Ivar (Journal article, 2018)
      We propose a daltonization method that enhances chromatic edges and contrast for color-deficient people by optimizing the gradient of an image. We rotate and scale the error gradient between the original and its simulation ...

    • On the edge: A scalable daltonization method focusing chromatic edges and cntrast 

      Simon-Liedtke, Joschua Thomas; Farup, Ivar; Eschbach, Reiner (Journal article; Peer reviewed, 2017)
      Color Vision Deficiency (CVD) leads to a reduced capabilityto identify chromatic edges and contrast and may cause signifi-cant problems in various color tasks like, for example, compar-ative color tasks. Many daltonization ...

    • OptaRoute – fordelingsalgoritme for kostnadsreduksjon hos transportbasert næring 

      Eriksen, Helge; Harkjerr, Sigurd Molnes (Bachelor thesis, 2016-08-22)
      Denne rapporten beskriver prosessen rundt utviklingen av OptaRoute - en optimaliseringsalgoritme utviklet for å redusere kostnader hos transportbaserte næringer. Programmet fungerer ved at data om en organisasjon bestående ...

    • Optimising a Euclidean Colour Space Transform for Colour Order and Perceptual Uniformity 

      Ragoo, Luvin Munish; Farup, Ivar (Chapter, 2021)
      In this paper, we attempt to optimise a colour space transform for colour order and perceptual uniformity to verify if a trade-off could be achieved between the two. The IPT colour space is used as basis for the optimisation. ...

    • Perceptual Evaluation of Color Gamut Mapping Algorithms 

      Dugay, Fabienne; Farup, Ivar; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2008)
      The recommendation of the CIE has been followed as closely as possible to evaluate the accuracy of five color gamut mapping algorithms (GMAs)—two nonspatial and three spatial algorithms—by psychophysical experiments with ...

    • Predicting the Performance of a Spatial Gamut Mapping Algorithm 

      Bakke, Arne Magnus; Farup, Ivar; Hardeberg, Jon Yngve (Proceedings of SPIE;7241, Journal article; Peer reviewed, 2009)
      Gamut mapping algorithms are currently being developed to take advantage of the spatial information in an image to improve the utilization of the destination gamut. These algorithms try to preserve the spatial informa- ...

    • Proceedings from Gjøvik Color Imaging Symposium 2003 

      Hardeberg, Jon Yngve; Farup, Ivar; Stjernvang, Gudmund (Høgskolen i Gjøviks rapportserie,, Research report, 2003)
      Gjøvik Color Imaging Symposium was held at Gjøvik University College November 24-25 2008. The firs day was devoted to color and quality in digital film and video. Lillehammer University College and Gjøvik University College ...

    • PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein (Peer reviewed; Journal article, 2020)
      We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule endoscopy (VCE) data. Our proposed model ...

    • Remote NDT - Secure Data 

      Klingenberg, Kristoffer; Myraunet, Rolf Arne (Bachelor thesis, 2017)
      Denne oppgaven omhandler utvikling av et system som muliggjør utførelse av fjernstyrt NDT. Dette innebærer å la en eller flere NDT-eksperter inspisere et prøveobjekt vha. ultralydteknologi uten å være fysisk tilstede. ...

    • Riemannian formulation and comparison of color difference formulas 

      Pant, Dibakar Raj; Farup, Ivar (Journal article; Peer reviewed, 2012)
      Study of various color difference formulas by the Riemannian approach is useful. By this approach, it is possible to evaluate the performance of various color difference formulas having different color spaces for measuring ...

    • A simple and cost effective colorimeter for characterising observer variability in colour matching experiments 

      Ragoo, Luvin Munish; Farup, Ivar (Peer reviewed; Journal article, 2023)
      In colour science, colour matching functions (CMFs) are essential for measuring how sensitive the human eye is to various light wavelengths and determining the colour of stimuli in various viewing situations. It has ...

    • Single-Image-Based 3D Reconstruction of Endoscopic Images 

      Ahmad, Bilal; Floor, Pål Anders; Farup, Ivar; Andersen, Casper Find (Journal article; Peer reviewed, 2024)
      A wireless capsule endoscope (WCE) is a medical device designed for the examination of the human gastrointestinal (GI) tract. Three-dimensional models based on WCE images can assist in diagnostics by effectively detecting ...

    • Skalerbar radioposisjonering med GPU 

      Graven, Ottar Søraa; Milje, Anders Aasrum; Kristiansen, Trym; Kostveit, Vegard Elgesem (Bachelor thesis, 2019)
      I denne bacheloroppgaven ser vi på overføring av beregninger fra CPU til GPU. Vi går inn på to forskjellige programmeringsteknologier for GPU-er, CUDA og OpenCL, og forklarer litt om disse og hvordan vi brukte dem. Prosjektets ...