In this paper we develop a theoretical view-point, defining a Geometric Separation Problem and analyzing a model procedure. This procedure is inspired by work ...
Our general approach applies to the problem of geometric separation of pointlike and curvelike structures in images by employing frames of radial wavelets and ...
In this paper we develop a theoretical view-point, defining a Geometric Separation Problem and analyzing a model procedure. This procedure is inspired by work ...
The theoretical results show that at all sufficiently fine scales, nearly-perfect separation is achieved and microlocal analysis is used to understand ...
In this paper we develop a theoretical view-point, defining a Geometric Separation Problem and analyzing a model procedure.
Apr 18, 2010 · We present a theoretical analysis showing that accurate geometric separation of point and curve singularities can be achieved by minimizing the \ell_1 norm.
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Aug 6, 2012 · It would be ideal to process a single image and extract two geometrically “pure” images, each one containing features from only one of the two ...
Apr 3, 2022 · Sparsity, ℓ1 Minimization, and the Geometric Separation Problem ... are based on microlocal analysis considerations, show that at all sufficiently.
A theoretical analysis in a model problem showing that accurate geometric separation can be achieved by `1 minimization is presented and it is proved that ...
In this paper, we consider the problem of developing sparse representations by combining both wavelets and curvelets and using a nonlinear representation based ...