【摘要】 小波提升算法能够将复杂的滤波过程分解成多个简单步骤,且分解的每一步都可逆.针对光照不均匀、烟雾和灰尘等复杂环境下,移动机器人视觉系统所提取的图像有大幅度噪声,实验利用小波提升算法的快速去噪,并通过仿真实验验证了该方法的有效性.实验结果证明该方法既能够计算快捷精确,又能够节省内存,能够提高移动机器人视觉导航系统的整体反映速度.更多还原

【Abstract】 The lifting wavelet algorithm can be divided into several simple processes and every step has its inverse transformation.The images contain lots of noises based on complex environment such as illumination non-uniformity,smog and dust.With the method of LWT,some the results of experiments have indicated the processing speed of the mobile robot system can be raised accurately and the rapidity and real-timeliness of mobile robot system can be improved by the image denoise method of mobile robot navigation based on LWT under the Complex Environment.更多还原