摘  要：在小波变换理论基础上，提出对视频的运动估计量进行处理来达到视频去噪的方法。首先使用运动域细化技术和全新的基于运动补偿的时间域滤波器，解决含有虚假运动矢量的实时视频去噪问题，提高对动态目标追踪的准确性，增强鲁棒性；并且改进空间域滤波器，降低处理的复杂度。实验结果表明：该方法是一种较为简单且高效的视频去噪方法。
关键词：图像增强；运动估计；视频编码；小波变换
中图分类号：TP312；TP391.41；TN949.6+3；TM930.12     文献标志码：A    文章编号：1674-5124（2013）05-0001-05
Video denoising method based on motion estimation combined with
wavelet-domain and motion-compensated
FENG Chang-jiang， MAO Bo， XUE Bing
（Ordance Engineering College，Shijiazhuang 050003，China）
Abstract: On the basis of wavelet transform theory， a novel video denoising method is presented in this paper， which reuses motion estimation resources from the video coding module. Firstly， it proposed a novel motion-field filtering step that refines the accuracy of the motion estimates to a degree that is required for denoising. Secondly， a novel temporal filter was proposed that is robust against errors in the estimated motion field. Then spatial domain filter was improved to reduce the complexity of the processing. The experimental results show that the proposed method is a relatively simple and efficient in video denoising.
Key words: image enhancement； motion estimation； video coding； wavelet transform