DocumentCode
3248773
Title
Super resolution reconstruction of video sequence based on total variation
Author
Han, Yu Bing ; Wu, Le Nan
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing, China
fYear
2004
fDate
20-22 Oct. 2004
Firstpage
575
Lastpage
578
Abstract
An adaptive filter for video sequence super resolution reconstruction is proposed based on weighted least square and total variation regularization. We thoroughly study the motion compensation matrix and weighted matrix, and deduce the recursive filter formula. Experimental results demonstrate the proposed method to be adaptive and robust.
Keywords
adaptive filters; image reconstruction; image resolution; least squares approximations; motion compensation; motion estimation; recursive filters; video signal processing; adaptive filter; motion compensation matrix; motion estimation error; recursive filter; super resolution reconstruction; total variation regularization; video sequence SR reconstruction; weighted least square matrix; Additive noise; Autocorrelation; Equations; Image reconstruction; Motion compensation; Motion estimation; Nails; Strontium; TV; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
Print_ISBN
0-7803-8687-6
Type
conf
DOI
10.1109/ISIMP.2004.1434129
Filename
1434129
Link To Document