在研究双树复小波变换原理的基础上，结合遥感图像中云雾和景物的频率差异，提出一种去云雾方法。设计并建立了去云雾处理硬件系统，介绍系统组成和系统开发步骤，叙述摄像头驱动程序、视频信号输出程序、人机交互界面等的设计方法，采用设计的系统开展图像采集和去云雾处理，给出并分析处理效果。实验结果表明，当分解层数、分界数和权重取默认值时，该文算法的图像处理的熵达到7.61，优于小波阈值法和同态滤波法。设计的系统去云雾处理能力和自适应性强。

Based on the study of the principle of dual-tree complex wavelet transform,a cloud removal method was proposed by combing the frequency differences of cloud-mist and scenery.A hardware system for cloud and mist removal was designed and established.The system structure and development procedures were introduced.The design methods of the camera driver,video signal output program and man-machine interaction interfaces were described.Additional,the image acquisition and cloud-mist removal processing were implemented by applying the designed system,and the procession results were presented and analyzed.Results show that the entropy of this algorithm is 7.61 when the decomposition level number,the dividing number and the weight factors have the default values,proving that the proposed algorithm can achieve better results than the wavelet threshold method and the homomorphism filtering method.The designed system has a pleasant ability for cloud and mist removal as well as a strong adaptivity.