DocumentCode :
2482527
Title :
MEM pixel correlated solutions for generalized moment and interpolation problems
Author :
Csiszar, Imre ; Gamboa, Fabrice ; Gassiat, Elisabeth
Author_Institution :
Math. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
1998
fDate :
16-21 Aug 1998
Firstpage :
357
Abstract :
We propose a new family of solutions for the classical generalized moment problem and the interpolation problem. The maximum entropy method on the mean (MEM) construction is the limit of the mean of some random discretized measure, where the amplitudes between pixels have a dependence structure. The method may be interpreted as a Bayesian procedure. Linear transfer allows one to introduce new prior information such as: modality, convexity, Sobolev norms. We also present MEM for exchangeable amplitudes on the pixels
Keywords :
Bayes methods; correlation methods; image reconstruction; interpolation; maximum entropy methods; Bayesian procedure; MEM pixel correlated solutions; Sobolev norms; convexity; dependence structure; exchangeable amplitudes; generalized moment problem; interpolation problem; linear transfer; maximum entropy method; mean; modality; pixel amplitudes; random discretized measure; signal reconstruction; Bayesian methods; Entropy; Interpolation; Kernel; Q measurement; Random variables; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5000-6
Type :
conf
DOI :
10.1109/ISIT.1998.708962
Filename :
708962
Link To Document :
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