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Fields of interest
  1. Statistical methods in signal processing, image processing
  • Ill-posed inverse problems: image restoration (denoising, deconvolution), etc.
  • Image segmentation.
  • Statistical estimation-detection theory.
  • Non-gaussian, non-stationary, long-memory prosesses analysis and characterization.
  • Spatio-temporal processes.
  1. Bayesian Image analysis and processing
  • Image priors, Bayesian approach.
  1. Sparse representation-based signal and image processing
  • Computational harmonic analysis.
  • Multi-scale methods for signal and image processing.
  • Wavelets and beyond wavelets (geometrical X-lets e.g. curvelets, ridgelets, etc).
  • Non-smooth optimization, convex analysis.
  • Morphological diversity webpage.
  1. Applications

  • Medical imaging: anatomical and functional MRI, echography, multi-modal functional imaging, etc.
  • Astronomical imaging.
  1. Collaborators