This paper presents an original reconstruction procedure for compressively sampled astronomical images. The procedure stems from adoption of a Bayesian prior on the original astronomical image. Simulation results show that the Bayesian prior enhances the iterative greedy support estimation procedure usually adopted in the literature leading to improved convergence performance and reconstruction accuracy. © 2013 University Paris 13.
Bayesian prior for reconstruction of compressively sampled astronomical images / Colonnese, Stefania; Cusani, Roberto; Rinauro, Stefano; Scarano, Gaetano. - (2013), pp. 124-129. (Intervento presentato al convegno 2013 4th European Workshop on Visual Information Processing, EUVIP 2013 tenutosi a Paris; France nel 10 June 2013 through 12 June 2013).
Bayesian prior for reconstruction of compressively sampled astronomical images
COLONNESE, Stefania;CUSANI, Roberto;RINAURO, STEFANO;SCARANO, Gaetano
2013
Abstract
This paper presents an original reconstruction procedure for compressively sampled astronomical images. The procedure stems from adoption of a Bayesian prior on the original astronomical image. Simulation results show that the Bayesian prior enhances the iterative greedy support estimation procedure usually adopted in the literature leading to improved convergence performance and reconstruction accuracy. © 2013 University Paris 13.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.