DocumentCode :
3415181
Title :
Improved wiener filter super-resolution algorithm for passive millimeter wave imaging
Author :
Zhao, Kang ; Wang, Jianguo
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 :
1768
Lastpage :
1771
Abstract :
The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations??thus necessitating some efficient post-processing to achieve resolution improvements. In this paper, we propose an improved wiener filter super-resolution algorithm. The algorithm uses iterative process of incremental wiener filter in wavelet threshold shrinkage to remove noise and increase the restored image information. Experimental results demonstrate the algorithm enhances the resolution and reduces the ringing effects which are caused by regularizing the image restoration problem. Furthermore, the algorithm is easily implemented for passive millimeter wave imaging.
Keywords :
Wiener filters; image resolution; image restoration; iterative methods; millimetre wave imaging; Wiener filter super-resolution algorithm; antenna size limitations; image information; image restoration; iterative process; noise removal; passive millimeter wave imaging; resolution improvement; ringing effects; wavelet threshold shrinkage; Deconvolution; Image resolution; Image restoration; Imaging; Millimeter wave technology; Noise; Wiener filter; Passive millimeter wave imaging; super-resolution; wiener filter;
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.2011.6159913
Filename :
6159913
Link To Document :
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