This code deals with image restoration problems where the data are nonuniform samples of the Fourier transform of the unknown object. We propose a practical algorithm, based on the gradient projection method, to compute a regularized solution in the discrete case. The key point in our deconvolution-based approach is that the fast Fourier transform can be employed in the algorithm implementation without the need of preprocessing the data.

Space-D: a software for nonnegative image deconvolution from sparse Fourier data / Bonettini, Silvia; Prato, Marco. - ELETTRONICO. - (2010).

Space-D: a software for nonnegative image deconvolution from sparse Fourier data

BONETTINI, Silvia;PRATO, Marco
2010

Abstract

This code deals with image restoration problems where the data are nonuniform samples of the Fourier transform of the unknown object. We propose a practical algorithm, based on the gradient projection method, to compute a regularized solution in the discrete case. The key point in our deconvolution-based approach is that the fast Fourier transform can be employed in the algorithm implementation without the need of preprocessing the data.
2010
Bonettini, Silvia; Prato, Marco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/694062
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