Commutability of blur and affine warping in super-resolution with application to joint estimation of triple-coupled variables

This paper proposes a new approach to the image blind super-resolution (BSR) problem in the case of affine interframe motion. Although the tasks of image registration, blur identification, and high-resolution (HR) image reconstruction are coupled in the imaging process, when dealing with nonisometri...

Description complète

Détails bibliographiques
Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 4 vom: 25. Apr., Seite 1796-808
Auteur principal: Zhang, Xuesong (Auteur)
Autres auteurs: Jiang, Jing, Peng, Silong
Format: Article en ligne
Langue:English
Publié: 2012
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article Research Support, Non-U.S. Gov't
LEADER 01000caa a22002652 4500
001 NLM212884921
003 DE-627
005 20250213091954.0
007 cr uuu---uuuuu
008 231224s2012 xx |||||o 00| ||eng c
024 7 |a 10.1109/TIP.2011.2174371  |2 doi 
028 5 2 |a pubmed25n0709.xml 
035 |a (DE-627)NLM212884921 
035 |a (NLM)22067365 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Zhang, Xuesong  |e verfasserin  |4 aut 
245 1 0 |a Commutability of blur and affine warping in super-resolution with application to joint estimation of triple-coupled variables 
264 1 |c 2012 
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 18.07.2012 
500 |a Date Revised 22.03.2012 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a This paper proposes a new approach to the image blind super-resolution (BSR) problem in the case of affine interframe motion. Although the tasks of image registration, blur identification, and high-resolution (HR) image reconstruction are coupled in the imaging process, when dealing with nonisometric interframe motion or without the exact knowledge of the blurring process, classic SR techniques generally have to tackle them (maybe in some combinations) separately. The main difficulty is that state-of-the-art deconvolution methods cannot be straightforwardly generalized to cope with the space-variant motion. We prove that the operators of affine warping and blur commute with some additional transforms and derive an equivalent form of the BSR observation model. Using this equivalent form, we develop an iterative algorithm to jointly estimate the triple-coupled variables, i.e., the motion parameters, blur kernels, and HR image. Experiments on synthetic and real-life images illustrate the performance of the proposed technique in modeling the space-variant degradation process and restoring local textures 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Jiang, Jing  |e verfasserin  |4 aut 
700 1 |a Peng, Silong  |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 21(2012), 4 vom: 25. Apr., Seite 1796-808  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnns 
773 1 8 |g volume:21  |g year:2012  |g number:4  |g day:25  |g month:04  |g pages:1796-808 
856 4 0 |u http://dx.doi.org/10.1109/TIP.2011.2174371  |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 21  |j 2012  |e 4  |b 25  |c 04  |h 1796-808