|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM177573287 |
| 003 |
DE-627 |
| 005 |
20231223150510.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231223s2008 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TIP.2007.916051
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n0592.xml
|
| 035 |
|
|
|a (DE-627)NLM177573287
|
| 035 |
|
|
|a (NLM)18270122
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Babacan, S Derin
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Parameter estimation in TV image restoration using variational distribution approximation
|
| 264 |
|
1 |
|c 2008
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 28.03.2008
|
| 500 |
|
|
|a Date Revised 13.02.2008
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a In this paper, we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. Within the hierarchical Bayesian formulation, the reconstructed image and the unknown hyper parameters for the image prior and the noise are simultaneously estimated. The proposed algorithms provide approximations to the posterior distributions of the latent variables using variational methods. We show that some of the current approaches to TV-based image restoration are special cases of our framework. Experimental results show that the proposed approaches provide competitive performance without any assumptions about unknown hyper parameters and clearly outperform existing methods when additional information is included
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 700 |
1 |
|
|a Molina, Rafael
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Katsaggelos, Aggelos K
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 17(2008), 3 vom: 14. März, Seite 326-39
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:17
|g year:2008
|g number:3
|g day:14
|g month:03
|g pages:326-39
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TIP.2007.916051
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 17
|j 2008
|e 3
|b 14
|c 03
|h 326-39
|