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- Centre National de la Recherche ScientifiqueFR121 papers
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12 papers · 1 filter
Logarithmic Morphological Neural Nets robust to lighting variations
Guillaume Noyel, Emile Barbier--Renard, Michel Jourlin +1
Morphological neural networks allow to learn the weights of a structuring function knowing the desired output image. However, those networks are not intrinsically robust to lightin…
As if by magic: self-supervised training of deep despeckling networks with MERLIN
Emanuele Dalsasso, Loïc Denis, Florence Tupin
Speckle fluctuations seriously limit the interpretability of synthetic aperture radar (SAR) images. Speckle reduction has thus been the subject of numerous works spanning at least…
Rule-Based Classification of Hyperspectral Imaging Data
Songuel Polat, Alain Tremeau, Frank Boochs
Due to its high spatial and spectral information content, hyperspectral imaging opens up new possibilities for a better understanding of data and scenes in a wide variety of applic…
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy
Emanuele Dalsasso, Xiangli Yang, Loïc Denis +2
Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) images. Many different schemes have been proposed for the restoration of intensity SAR images. Among the…
Mean Oriented Riesz Features for Micro Expression Classification
Carlos Arango Duque, Olivier Alata, Rémi Emonet +2
Micro-expressions are brief and subtle facial expressions that go on and off the face in a fraction of a second. This kind of facial expressions usually occurs in high stake situat…
Functional Asplund metrics for pattern matching, robust to variable lighting conditions
Guillaume Noyel, Michel Jourlin
In this paper, we propose a complete framework to process images captured under uncontrolled lighting and especially under low lighting. By taking advantage of the Logarithmic Imag…