Pia Heins

most citedAdaptive Superresolution in Deconvolution of Sparse Peaks

10 citations · 14 across the 2 of their papers we have counts for

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math.OC2020★ 10 cited

Adaptive Superresolution in Deconvolution of Sparse Peaks

Alexandra Koulouri, Pia Heins, Martin Burger

The aim of this paper is to investigate superresolution in deconvolution driven by sparsity priors. The observed signal is a convolution of an original signal with a continuous ker…

math.OC2014★ 4 cited

Locally Sparse Reconstruction Using the $ℓ^{1, \infty}$ -Norm

Pia Heins, Michael Moeller, Martin Burger

This paper discusses the incorporation of local sparsity information, e.g. in each pixel of an image, via minimization of the $ℓ^{1, \infty}$ -norm. We discuss the basic propertie…

Adaptive Superresolution in Deconvolution of Sparse Peaks

Locally Sparse Reconstruction Using the ℓ1,∞-Norm

Locally Sparse Reconstruction Using the $ℓ^{1, \infty}$ -Norm