J.M. Bioucas-Dias

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Standard formulations of image/signal deconvolution under wavelet-based priors/regularizers lead to very high-dimensional optimization problems involving the following difficulties: the non-Gaussian (heavy-tailed) wavelet priors lead to objective functions which are nonquadratic, usually nondifferentiable, and sometimes even nonconvex; the presence of the(More)
Many imaging techniques, e.g., interferometric synthetic aperture radar, magnetic resonance imaging, diffraction tomography, yield interferometric phase images. For these applications, the measurements are modulo-2p, where p is the period, a certain real number, whereas the aimed information is contained in the true phase value. The process of inferring the(More)
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