投影小波域MAP估计无源毫米波图像超分辨算法

金鑫; 熊金涛; 李良超; 杨建宇

doi:10.3724/SP.J.1146.2009.00547

投影小波域MAP估计无源毫米波图像超分辨算法

doi: 10.3724/SP.J.1146.2009.00547

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出版历程
- 收稿日期: 2009-04-13
- 修回日期: 2009-11-23
- 刊出日期: 2010-04-19

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

摘要

摘要: 在无源毫米波成像中，由于系统天线孔径大小的受限而使得成像的分辨率低。为了提高图像的分辨率，该文提出了一种投影小波域最大后验(MAP)估计毫米波图像超分辨算法(PWMAP)。该算法利用基于小波域广义高斯分布的MAP估计来恢复通带内的频谱；然后利用投影的非线性运算实现频谱外推。该算法不仅比以往的算法能提供更准确的先验建模，而且能在每步迭代时自适应地更新正则参数。实验结果验证了该算法的有效性。
- 无源毫米波成像; 超分辨; 小波域; 自适应; 非线性运算
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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