DocumentCode
2481599
Title
An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation
Author
Mochizuki, Yoshihiko ; Kameda, Yusuke ; Imiya, Atsushi ; Sakai, Tomoya ; Imaizumi, Takashi
Author_Institution
Sch. of Adv. Integration Sci., Chiba Univ., Chiba, Japan
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
2270
Lastpage
2273
Abstract
Super resolution is a technique to recover a high resolution image from a low resolution image. We develop a variational super resolution method for the subpixel accurate optical flow computation using variational optimisation. We combine variational super resolution and the variational optical flow computation for the super resolution optical flow computation.
Keywords
image resolution; image sequences; iterative methods; minimisation; energy minimisation; iterative method; optical flow superresolution; subpixel accurate optical flow computation; variational optimisation; variational super resolution method; Adaptive optics; Biomedical optical imaging; Integrated optics; Optical computing; Optical imaging; Spatial resolution; optical flow; supperresolution; variational method;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.556
Filename
5595986
Link To Document