Blar i NTNU Open på forfatter "Fernandez-Maloigne, Christine"

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    • A Survey of Stereoscopic 3D Just Noticeable Difference Models 

      Fan, Yu; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi; Fernandez-Maloigne, Christine (Journal article; Peer reviewed, 2019)
      Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND ...

    • Just Noticeable Difference Model for Asymmetrically Distorted Stereoscopic Images 

      Fan, Yu; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi; Fernandez-Maloigne, Christine (Peer reviewed; Journal article, 2019)
      In this paper, we propose a saliency-weighted stereoscopic JND (SSJND) model constructed based on psychophysical experiments, accounting for binocular disparity and spatial masking effects of the human visual system (HVS). ...

    • A Metrological Framework for Hyperspectral Texture Analysis Using Relative Spectral Difference Occurrence Matrix 

      Chu, Rui Jian; Richard, Noel; Ghorbel, Faouzi; Fernandez-Maloigne, Christine; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      A new hyperspectral texture descriptor, Relative Spectral Difference Occurrence Matrix (RSDOM) is proposed. Developed in a metrological framework, it simultaneously considers the distribution of spectra and their spatial ...

    • A Metrological Measurement of Texture in Hyperspectral Images Using Relocated Spectral Difference Occurrence Matrix 

      Chu, Rui Jian; Richard, Noel; Fernandez-Maloigne, Christine; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      A new hyperspectral texture descriptor, Relocated Spectral Difference Occurrence Matrix (rSDOM) is proposed. It assesses the distribution of spectral difference in a given neighborhood. For metrological purposes, rSDOM ...

    • 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, ...