Projected Wavelet-Domain MAP Estimation Super-resolution Algorithm for Passive Millimeter Wave Imaging
投影小波域MAP估计无源毫米波图像超分辨算法

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.