DocumentCode
641478
Title
Bayesian prior for reconstruction of compressively sampled astronomical images
Author
Colonnese, S. ; Cusani, Roberto ; Rinauro, Stefano ; Scarano, G.
Author_Institution
Dipt. di Ing. dell´Inf., Elettron. e delle Telecomun., Univ. di Roma La Sapienza, Rome, Italy
fYear
2013
fDate
10-12 June 2013
Firstpage
124
Lastpage
129
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.
Keywords
Bayes methods; astronomical image processing; convergence of numerical methods; data compression; greedy algorithms; image coding; image reconstruction; image sampling; iterative methods; Bayesian prior; compressively sampled astronomical image reconstruction; convergence performance improvement; iterative greedy support estimation procedure enhancement; reconstruction accuracy improvement; Bayes methods; Convergence; Estimation; Image coding; Image reconstruction; Indexes; Vectors; Bayesian prior; Compressive sampling; astronomical imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Information Processing (EUVIP), 2013 4th European Workshop on
Conference_Location
Paris
Type
conf
Filename
6623963
Link To Document