Coupled variational image decomposition and restoration model for blurred cartoon-plus-texture images with missing pixels

In this paper, we develop a decomposition model to restore blurred images with missing pixels. Our assumption is that the underlying image is the superposition of cartoon and texture components. We use the total variation norm and its dual norm to regularize the cartoon and texture, respectively. We...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 6 vom: 21. Juni, Seite 2233-46
1. Verfasser: Ng, Michael K (VerfasserIn)
Weitere Verfasser: Yuan, Xiaoming, Zhang, Wenxing
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2013
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article
LEADER 01000naa a22002652 4500
001 NLM225055694
003 DE-627
005 20231224064303.0
007 cr uuu---uuuuu
008 231224s2013 xx |||||o 00| ||eng c
024 7 |a 10.1109/TIP.2013.2246520  |2 doi 
028 5 2 |a pubmed24n0750.xml 
035 |a (DE-627)NLM225055694 
035 |a (NLM)23412618 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Ng, Michael K  |e verfasserin  |4 aut 
245 1 0 |a Coupled variational image decomposition and restoration model for blurred cartoon-plus-texture images with missing pixels 
264 1 |c 2013 
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 30.12.2013 
500 |a Date Revised 03.04.2013 
500 |a published: Print-Electronic 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a In this paper, we develop a decomposition model to restore blurred images with missing pixels. Our assumption is that the underlying image is the superposition of cartoon and texture components. We use the total variation norm and its dual norm to regularize the cartoon and texture, respectively. We recommend an efficient numerical algorithm based on the splitting versions of augmented Lagrangian method to solve the problem. Theoretically, the existence of a minimizer to the energy function and the convergence of the algorithm are guaranteed. In contrast to recently developed methods for deblurring images, the proposed algorithm not only gives the restored image, but also gives a decomposition of cartoon and texture parts. These two parts can be further used in segmentation and inpainting problems. Numerical comparisons between this algorithm and some state-of-the-art methods are also reported 
650 4 |a Journal Article 
700 1 |a Yuan, Xiaoming  |e verfasserin  |4 aut 
700 1 |a Zhang, Wenxing  |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 22(2013), 6 vom: 21. Juni, Seite 2233-46  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnns 
773 1 8 |g volume:22  |g year:2013  |g number:6  |g day:21  |g month:06  |g pages:2233-46 
856 4 0 |u http://dx.doi.org/10.1109/TIP.2013.2246520  |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 22  |j 2013  |e 6  |b 21  |c 06  |h 2233-46