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| Projected Wavelet-Domain MAP Estimation Super-resolution Algorithm for Passive Millimeter Wave Imaging |
| Jin Xin; Xiong Jin-tao; Li Liang-chao; Yang Jian-yu |
| School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China |
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Abstract In passive millimeter wave imaging, the problem of poor resolution of acquired image stems mainly from system antenna size limitations. In order to achieve resolution improvements, a Projected Wavelet-domain Maximum A Posteriori (PWMAP) estimation super-resolution algorithm is proposed in this paper. This algorithm restores the spectrum in the pass-band based on wavelet domain using the generalized Gaussian distribution and the MAP estimate; then extrapolate the spectrum by using the non-linear projection operation. This algorithm can not only provide a more accurate priori model than previous algorithms, but also updates the parameter adaptively at each iteration. Experimental results show the effectiveness and superiority of the algorithm.
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Received: 13 April 2009
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Corresponding Authors:
Jin Xin
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2010, Vol. 32 
