This paper extends the Bayesian direct deconvolution method to the case in which the convolution kernel depends on few unknown nuisance parameters. Moreover, an acceleration procedure is proposed that drastically reduces the computational burden. Finally, the implementation of the method by means of the fast Fourier transform is fully discussed in the multidimensional case. © 1990 Springer-Verlag New York Inc.
Barone, P., Rossi, C. (1990). Deconvolution with partially known kernel of nonnegative signals. MACHINE VISION AND APPLICATIONS, 3(2), 107-115 [10.1007/BF01212194].
Deconvolution with partially known kernel of nonnegative signals
ROSSI, CARLA
1990-01-01
Abstract
This paper extends the Bayesian direct deconvolution method to the case in which the convolution kernel depends on few unknown nuisance parameters. Moreover, an acceleration procedure is proposed that drastically reduces the computational burden. Finally, the implementation of the method by means of the fast Fourier transform is fully discussed in the multidimensional case. © 1990 Springer-Verlag New York Inc.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
