1 citations · 1 across the 5 of their papers we have counts for
5 papers
Off-the-grid covariance-based super-resolution fluctuation microscopy
Bastien Laville, Laure Blanc-Féraud, Gilles Aubert
Super-resolution fluorescence microscopy overcomes blurring arising from light diffraction, allowing the reconstruction of fine scale details in biological structures. Standard met…
Research Report: Exact biconvex reformulation of the minimization problem
Arne Bechensteen, Laure Blanc-Féraud, Gilles Aubert
We focus on the minimization of the least square loss function either under a -sparse constraint or with a sparse penalty term. Based on recent results, we reformulate the $\ell…
Single molecule localization by constrained optimization
Arne Bechensteen, Laure Blanc-Féraud, Gilles Aubert
Single Molecule Localization Microscopy (SMLM) enables the acquisition of high-resolution images by alternating between activation of a sparse subset of fluorescent molecules prese…
Region-based active contour with noise and shape priors
François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili +3
In this paper, we propose to combine formally noise and shape priors in region-based active contours. On the one hand, we use the general framework of exponential family as a prior…
Statistical region-based active contours with exponential family observations
François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili +2
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric f…