Sparsity Averaging Reweighted Analysis SARA: a novel algorithm for radio-interferometric imagingReport as inadecuate




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Published in: Monthly Notices- Royal Astronomical Society (ISSN: 0035-8711), vol. 426, num. 2, p. 1223-1234 Hoboken: Wiley-Blackwell, 2012

We propose a novel algorithm for image reconstruction in radio interferometry. The ill-posed inverse problem associated with the incomplete Fourier sampling identified by the visibility measurements is regularized by the assumption of average signal sparsity over representations in multiple wavelet bases. The algorithm, defined in the versatile framework of convex optimization, is dubbed Sparsity Averaging Reweighted Analysis (SARA). We show through simulations that the proposed approach outperforms state-of-the-art imaging methods in the field, which are based on the assumption of signal sparsity in a single basis only.

Keywords: Interferometric imaging ; Compressed sensing Reference EPFL-ARTICLE-180243doi:10.1111/j.1365-2966.2012.21605.xView record in Web of Science





Author: Carrillo, Rafael; McEwen, Jason; Wiaux, Yves

Source: https://infoscience.epfl.ch/record/180243?ln=en



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