摘  要：在小波變換理論基礎上，提出對視頻的運動估計量進行處理來達到視頻去噪的方法。首先使用運動域細化技術和全新的基于運動補償的時間域濾波器，解決含有虛假運動矢量的實時視頻去噪問題，提高對動態目標追蹤的準確性，增強魯棒性；并且改進空間域濾波器，降低處理的復雜度。實驗結果表明：該方法是一種較為簡單且高效的視頻去噪方法。
關鍵詞：圖像增強；運動估計；視頻編碼；小波變換
中圖分類號：TP312；TP391.41；TN949.6+3；TM930.12     文獻標志碼：A    文章編號：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