在火箭/导弹发射时，地面试验图像受烟雾干扰严重，在地面试验图像预处理中，烟雾弱化研究非常重要。首先对频域滤波法进行了探讨，提出了一种新的同态滤波方法，然后根据小波变换能兼顾空-频域和多分辨率分析的特性提出了加权小波系数的烟雾弱化方法。最后采用5种不同的客观评价方法对处理后的图像进行评价。实验结果表明，所提出的两种烟雾弱化处理方法更有效。

When the rocket or missile launches, the ground testing images are interfered seriously by smoke. The research on the weakening of smoke in images is very important in the ground testing image preprocessing. This paper firstly discusses smog removing in the frequency domain, and it proposes a new homomorphic filtering method. Then it proposes Weighing Wavelet Coefficient approach weakening smoke on account of the multi-resolution and space-frequency nature of the Wavelet Transform. Finally it adopts five different objective appraisal methods to evaluate the disposed images. Experimental results show that the two proposed approaches are more effective on smog weakening than the other three.