• Application of spectral statistics to surface defect detection 

      Deborah, Hilda; Richard, Noel; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2019)
      The development of a spectral difference-based statistical processing of hyperspectral images is provided in this article. Kullback-Leibler pseudo-divergence function, which was specifically developed for the metrological ...
    • Assessment Protocols and Comparison of Ordering Relations for Spectral Image Processing 

      Deborah, Hilda; Richard, Noël; Hardeberg, Jon Yngve; Fernandez Maloigne, Christine (Journal article; Peer reviewed, 2018)
      Recent developments in hyperspectral sensors allow us to obtain high spectral and spatial resolutions that are close to the optical and physical structures of acquired surfaces. Consequently, hyperspectral imaging is used ...
    • Creating RGB Images from Hyperspectral Images Using a Color Matching Function 

      Magnusson, Magnus; Sigurdsson, Jakob; Armansson, Sveinn Eirikur; Ülfarsson, Magnús Ö; Deborah, Hilda; Sveinsson, Johannes R. (Peer reviewed; Journal article, 2021)
      Hyperspectral images (HSI) are composed of hundreds of spectral bands, covering a broad range of the electromagnetic spectrum. However, images can only be visualized using three spectral channels for red, green, and blue ...
    • Ink bleed-through removal of historical manuscripts based on hyperspectral imaging 

      Rocha, Cristian da Costa; Deborah, Hilda; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      Old manuscripts can be degraded by different reasons over time. The ink bleed-through from the back side of the page is a common problem which compromises the readability and the aesthetics of the document. Unsupervised ...
    • A metrological spectral difference space for the statistical modelling of hyperspectral images 

      Deborah, Hilda; Richard, Noël; Ülfarsson, Magnús Ö; Benediktsson, Jón Atli; Hardeberg, Jon Yngve (Chapter, 2019)
      Answering to metrological constraints typically required in the context of industrial and medical applications, a spectral difference space is introduced in this work. In this space, an acquired hyperspectral data is treated ...
    • Spectral-divergence based pigment discrimination and mapping: A case study on The Scream (1893) by Edvard Munch 

      Deborah, Hilda; George, Sony; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2019)
      An important application of imaging spectroscopy or hyperspectral imaging is the classification or discrimination of pigments based on the obtained spectral reflectance information. As opposed to being a point-analysis ...
    • Texture Stationarity Evaluation with Local Wavelet Spectrum 

      Conni, Michele; Deborah, Hilda (Chapter, 2020)
      In texture analysis, stationarity is a fundamental property. There are various ways to evaluate if a texture image is stationary or not. One of the most recent and effective of these is a standard test based on non-decimated ...
    • Towards Spectral Mathematical Morphology 

      Deborah, Hilda (Doctoral theses at NTNU;2016:372, Doctoral thesis, 2016)
      Providing not only spatial information but also spectral measures as a function of wavelength, hyperspectral imaging boasts a much greater accuracy than traditional grayscale and color imaging. For this capability, ...