DocumentCode :
1848155
Title :
Total variation regularized iterative back-projection method for single frame image super resolution
Author :
Rui Lai ; Yin-tang Yang ; Hui-xin Zhou ; Han-lin Qin ; Bing-Jian Wang
Author_Institution :
Dept. of Microelectron., Xidian Univ., Xi´an, China
Volume :
2
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
931
Lastpage :
934
Abstract :
Iterative back-projection (IBP) technique is commonly used to minimize the super resolution (SR) reconstruction error and acquire a high spatial resolution image with appealing visual effect. However, the IBP based SR method suffers from the chessboard and ringing effect around edges. In this paper, we employ total variation (TV) as a part of penalty function to minimize the reconstruction error, which helps to avoid across-edge smoothing and suppress the above-mentioned artifacts simultaneously. The experimental results validate that the proposed algorithm can promote the SR reconstruction precision considerably.
Keywords :
image reconstruction; image resolution; iterative methods; IBP technique; SR reconstruction error minimization; TV; appealing visual effect; chessboard effect; high spatial resolution image; iterative back-projection; ringing effect; single frame image super resolution; total variation; Image super resolution; iterative back-projection; total variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491732
Filename :
6491732
Link To Document :
بازگشت