• 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 ...
    • An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing 

      Whannou De Dravo, Vincent Jacob; El Khoury, Jessica; Thomas, Jean-Baptiste; Mansouri, Alamin; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2017)
      Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, ...
    • Color and sharpness assessment of single image dehazing 

      El Khoury, Jessica; Le Moan, Steven; Thomas, Jean-Baptiste; Mansouri, Alamin (Journal article; Peer reviewed, 2017)
      Image dehazing is the process of enhancing a color image of a natural scene that contains an undesirable veil of fog for visualization or as a pre-processing step for computer vision systems. In this work, we investigate ...
    • Contributions to Spectral and 3D Imaging Technology for Cultural Heritage Applications 

      Deger, Ferdinand H. (Doctoral thesis at NTNU 2016:183, Doctoral thesis, 2016)
      The methodological approach of this doctoral thesis is to use optical imaging and to employ the mathematical theory of regularisation methods, in order to support cultural heritage research. State-of-the-art optical imaging ...
    • Multispectral Imaging using a Stereo Camera: Concept, Design and Assessment 

      Shrestha, Raju; Mansouri, Alamin; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2011)
      This paper proposes a one-shot six-channel multispectral color image acquisition system using a stereo camera and a pair of optical filters. The two filters from the best pair selected from among readily available filters ...
    • Multispectral Imaging using a Stereo Camera: Concept, Design and Assessment 

      Shrestha, Raju; Mansouri, Alamin; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2011)
      This paper proposes a one-shot six-channel multispectral color image acquisition system using a stereo camera and a pair of optical filters. The two filters from the best pair selected from among readily available filters ...
    • One-shot multispectral color imaging with a stereo camera 

      Shrestha, Raju; Hardeberg, Jon Yngve; Mansouri, Alamin (Proceedings of SPIE;7876, Journal article; Peer reviewed, 2011)
      Multispectral color imaging is a promising technology, which can solve many of the problems of traditional RGB color imaging. However, it still lacks widespread and general use because of its limitations. State of the art ...
    • Reflectance-based surface saliency 

      Pitard, Gilles; Le Goïc, Gaëtan; Mansouri, Alamin; Favreliére, Hugues; Pillet, Maurice; George, Sony; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      In this paper, we propose an original methodology allowing the computation of the saliency maps for high dimensional RTI data (Reflectance Transformation Imaging). Unlike most of the classical methods, our approach aims ...
    • Robust Anomaly Detection Using Reflectance Transformation Imaging for Surface Quality Inspection 

      Pitard, Gilles; Le Goïc, Gaëtan; Mansouri, Alamin; Favreliére, Hugues; Pillet, Maurice; George, Sony; Hardeberg, Jon Yngve (Chapter, 2017)
      We propose a novel methodology for the detection and analysis of visual anomalies on challenging surfaces (metallic). The method is based on a local assessment of the reflectance across the inspected surface, using Reflectance ...