• A sensor-data-based denoising framework for hyperspectral images 

      Deger, Ferdinand; Mansouri, Alamin; Pedersen, Marius; Hardeberg, Jon Yngve; Voisin, Yvon (Journal article; Peer reviewed, 2015)
      Many denoising approaches extend image processing to a hyperspectral cube structure, but do not take into account a sensor model nor the format of the recording. We propose a denoising framework for hyperspectral images ...
    • Angular dependence of fluorescence from turbid media 

      Coppel, Ludovic Gustafsson; Johansson, Niklas; Neuman, Magnus (Journal article; Peer reviewed, 2015)
      We perform Monte Carlo light scattering simulations to study the angular distribution of the fluorescence emission from turbid media and compare the results to measured angular distributions from fluorescing white paper ...
    • Characterisation of the n-colour printing process using the spot colour overprint model 

      Deshpande, Kiran; Green, Phil; Pointer, Michael (Journal article; Peer reviewed, 2014)
      This paper is aimed at reproducing the solid spot colours using the n-colour separation. A simplified numerical method, called as the spot colour overprint (SCOP) model, was used for characterising the n-colour printing ...
    • Deep learning models for optically characterizing 3D printers 

      Chen, Danwu; Urban, Philipp (Peer reviewed; Journal article, 2021)
      Multi-material 3D printers are able to create material arrangements possessing various optical properties. To reproduce these properties, an optical printer model that accurately predicts optical properties from the printer’s ...
    • Estimation of Fluorescent Donaldson Matrices Using a Spectral Imaging System 

      Tominaga, Shoji; Hirai, Keita; Horiuchi, Takahiko (Journal article; Peer reviewed, 2018)
      The present paper proposes a method to estimate the bispectral Donaldson matrices of fluorescent objects in a scene with a spectral imaging system. Multiple ordinary light sources with continuous spectral-power distributions ...
    • Hyperbolic geometry for colour metrics 

      Farup, Ivar (Journal article; Peer reviewed, 2014)
      It is well established from both colour difference and colour order perpectives that the colour space cannot be Euclidean. In spite of this, most colour spaces still in use today are Euclidean, and the best Euclidean colour ...
    • Inducing robustness and plausibility in deep learning optical 3D printer models 

      Chen, Danwu; Urban, Philipp (Peer reviewed; Journal article, 2022)
      Optical 3D printer models characterize multimaterial 3D printers by predicting optical or visual quantities from material arrangements or tonal values. Their accuracy and robustness to noisy training data are crucial for ...
    • LED primary selection algorithms for simulation of CIE standard illuminants 

      Nahavandi, Alireza Mahmoudi; Safi, Mahdi; Ojaghi, Pouya; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2020)
      Although mixture of LEDs is being considered as a simulator of the CIE daylight series, the performance of the simulations is highly dependent on the SPD of the selected LEDs. An algorithm for selection of the best LEDs ...
    • Multi-printer learning framework for efficient optical printer characterization 

      Chen, Danwu; Urban, Philipp Markus (Peer reviewed; Journal article, 2023)
      A high prediction accuracy of optical printer models is a prerequisite for accurately reproducing visual attributes (color, gloss, translucency) in multimaterial 3D printing. Recently, deep-learning-based models have been ...
    • Multispectral camera as spatio-spectrophotometer under uncontrolled illumination 

      Khan, Haris Ahmad; Thomas, Jean-Baptiste; Hardeberg, Jon Yngve; Laligant, Olivier (Journal article; Peer reviewed, 2019)
      Multispectral constancy enables the illuminant invariant representation of multi-spectral data. This article proposes an experimental investigation of multispectral constancy through the use of multispectral camera as a ...
    • Optimized light source spectral power distribution for RGB camera based spectral reflectance recovery 

      Wang, Lixia; Sole, Aditya Suneel; Hardeberg, Jon Yngve; Wan, Xiaoxia (Peer reviewed; Journal article, 2021)
      The accuracy of recovered spectra from camera responses mainly depends on the spectral estimation algorithm used, the camera and filters selected, and the light source used to illuminate the object. We present and compare ...
    • Spectrogenic imaging: A novel approach to multispectral imaging in an uncontrolled environment 

      Shrestha, Raju; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2014)
      Increasing the number of imaging channels beyond the conventional three has been shown to be beneficial for a wide range of applications. However, it is mostly limited to imaging in a controlled environment, where the ...
    • ZCAM, a colour appearance model based on a high dynamic range uniform colour space 

      Safdar, Muhammad; Hardeberg, Jon Yngve; Luo, Ming Ronnier (Journal article; Peer reviewed, 2021)