|
|
|
|
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
|