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
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159826
