DocumentCode
3413411
Title
Adaptive super-resolution algorithm based on PCA and wavelet for passive millimeter wave imaging
Author
Li, Jing ; Li, Liangchao ; Xiong, Jintao ; Yang, Jianyu
Author_Institution
Sch. of Electron. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
2
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
1421
Lastpage
1424
Abstract
In this paper, an adaptive super-resolution algorithm which calculates the regularization operator and parameter based on PCA and wavelet (APW algorithm) is proposed. Experiments demonstrate that the proposed algorithm enhances the PMMW image resolution and has lower mean square error.
Keywords
millimetre wave imaging; principal component analysis; wavelet transforms; PCA; PMMW image resolution; adaptive super-resolution algorithm; passive millimeter wave imaging; wavelet transform; Image edge detection; Image resolution; Image restoration; Imaging; Noise; Principal component analysis; Signal processing algorithms; PCA; Passive Millimeter Wave Imaging; Super-resolution; Wavelet decomposition; adaptive regularization;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159826
Filename
6159826
Link To Document