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Multi-scale CLEAN for Fourier-based hard x-ray solar imaging

Volpara, Anna; Piana, Michele; Maria Massone, Anna +1 more

Multi-scale deconvolution is an ill-posed inverse problem in imaging, with applications ranging from microscopy, through medical imaging, to astronomical remote sensing. In the case of high-energy space telescopes, multi-scale deconvolution algorithms need to account for the peculiar property of native measurements, which are sparse samples of the…

Approximation of discontinuous inverse operators with neural networks

Massa, Paolo; Benvenuto, Federico; Garbarino, Sara

In this work we deal with parametric inverse problems, which consist in recovering a finite number of parameters describing the structure of an unknown object, from indirect measurements. State-of-the-art methods for approximating a regularizing inverse operator by using a dataset of input-output pairs of the forward model rely on deep learning te…