For the problem that passive millimeter wave (MMW) image is fuzzy and of low resolution,the par-tial differential equation (PDE) method is proposed for high-resolution restoration of the image and then the PDE model and the corresponsive image restoration algorithm are given. First, this method denoises the obtained blurred image by using two Gauss function of different scale parameter to get two images which are more blurred,and then obtain the high-resolution image using iteration from the two images. This PDE algorithm is of simple principle and convenient calculation. Passive MMW image restoration of an actual metal target shows that this method is effective.%针对被动毫米波图像模糊和分辨率较低,提出采用偏微分方程方法进行图像的高分辨率恢复,并给出了偏微分方程模型和相应的图像恢复算法.该方法首先把得到的带噪降晰图像进行两个不同尺度的 Gauss 去噪,获得两幅更模糊的再降晰图像,再以这两幅图像为基础,通过迭代计算得到高分辨率图像.偏微分方程方法原理简单并且计算方便,通过对实际金属目标的被动毫米波图像的恢复,显示该方法具有较好的恢复效果.
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