DocumentCode
538530
Title
Multiframe image super-resolution based on clutter prediction
Author
Haiying, Xian ; Qun, Wan ; Zhizhong, Fu ; Jin, Xu
Author_Institution
Sch. of Electron. Eng., UESTC, Chengdu, China
fYear
2010
fDate
3-5 Dec. 2010
Firstpage
279
Lastpage
283
Abstract
This paper addressed super-resolution technology of image sequences. The image sequences included a lot of redundant and nonredundant information. To enhance the information of SR image, the nonredundant information should be fused into the SR image as much as possible. This paper proposed a novel SR algorithm based on clutter prediction, which extracted and employed the nonredundant information to improve the performance of SR algorithm.
Keywords
image resolution; image sequences; SR image information; clutter prediction; image sequences; multiframe image super resolution; Clutter; Mathematical model; Pixel; Prediction algorithms; Spatial resolution; Strontium; adaptive algorithm; clutter prediction; superresolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Problem-Solving (ICCP), 2010 International Conference on
Conference_Location
Lijiang
Print_ISBN
978-1-4244-8654-0
Type
conf
Filename
5696056
Link To Document