Paper Info
Title
Superresolution and blind deconvolution of video
Abstract
In many real applications traditional superresolu- tion methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of in- put low-resolution images. In this paper, we present a method of superresolution and blind deconvolution of video sequences and address problems of misregis- tration, local motion and change of illumination. The method processes the video by applying temporal win- dows, masking out regions of misregistration, and mini- mizing a regularized energy function with respect to the high-resolution frame and blurs, where regularization is carried out in both the image and blur domains. Ex- periments on real video sequences illustrate robustness of the method.
Year
DOI
Venue
2008
10.1109/ICPR.2008.4760989
Tampa, FL
Keywords
Field
DocType
deconvolution,image registration,image sequences,video signal processing,blind video deconvolution,image registration,video sequences,video superresolution
Computer vision,Masking (art),Blind deconvolution,Pattern recognition,Computer science,Deconvolution,Robustness (computer science),Regularization (mathematics),Pixel,Artificial intelligence,Image resolution,Image registration
Conference
ISSN
ISBN
Citations 
1051-4651 E-ISBN : 978-1-4244-2175-6
978-1-4244-2175-6
5
PageRank 
References 
Authors
0.46
5
3
Name
Order
Citations
PageRank
Filip Sroubek11497.80
J. Flusser239825.42
Michal Sorel350.46