DocumentCode
641909
Title
Super-resolution image reconstruction algorithm based on double sparse representation
Author
Wang Huan ; Sun Jinping
Author_Institution
Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear
2013
fDate
14-16 April 2013
Firstpage
1
Lastpage
5
Abstract
Aiming at the current requirements of image reconstruction in the actual applications, by studying the super-resolution image reconstruction and the theory of sparse representation, this paper proposes a super-resolution image reconstruction algorithm based on double sparse representation. This paper also makes some comparative experiments with the algorithm based on single sparse representation. The experiment results show that the reconstruction results of our algorithm are better than the results of super-resolution image reconstruction algorithm based on single sparse presentation.
Keywords
image reconstruction; image representation; image resolution; comparative experiments; double sparse representation; single sparse representation; sparse representation theory; super-resolution image reconstruction algorithm; dictionary learning; sparse representation; super-resolution image reconstruction; training samples;
fLanguage
English
Publisher
iet
Conference_Titel
Radar Conference 2013, IET International
Conference_Location
Xi´an
Electronic_ISBN
978-1-84919-603-1
Type
conf
DOI
10.1049/cp.2013.0497
Filename
6624661
Link To Document