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 :
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