PURIFY: a new approach to radio-interferometric imaging

Abstract

In a recent article series, the authors have promoted convex optimization algorithms for radio-interferometric imaging in the framework of compressed sensing, which leverages sparsity regularization priors for the associated inverse problem and defines a minimization problem for image reconstruction. This approach was shown, in theory and through… (More)

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Cite this paper

@inproceedings{Carrillo2014PURIFYAN, title={PURIFY: a new approach to radio-interferometric imaging}, author={Rafael E. Carrillo and Jason D. McEwen and Yves Wiaux}, year={2014} }