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Volume 32 Issue 4
Dec.  2010
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Jin Xin, Xiong Jin-tao, Li Liang-chao, Yang Jian-yu. Projected Wavelet-Domain MAP Estimation Super-resolution Algorithm for Passive Millimeter Wave Imaging[J]. Journal of Electronics & Information Technology, 2010, 32(4): 889-893. doi: 10.3724/SP.J.1146.2009.00547
Citation: Jin Xin, Xiong Jin-tao, Li Liang-chao, Yang Jian-yu. Projected Wavelet-Domain MAP Estimation Super-resolution Algorithm for Passive Millimeter Wave Imaging[J]. Journal of Electronics & Information Technology, 2010, 32(4): 889-893. doi: 10.3724/SP.J.1146.2009.00547

Projected Wavelet-Domain MAP Estimation Super-resolution Algorithm for Passive Millimeter Wave Imaging

doi: 10.3724/SP.J.1146.2009.00547
  • Received Date: 2009-04-13
  • Rev Recd Date: 2009-11-23
  • Publish Date: 2010-04-19
  • 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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