為了去除單幀圖像小波去噪后殘留的噪聲和去噪時引入的類似脈沖噪聲的偽細節(jié)，提出
一種基于運動補償?shù)娜SKNN (K-Nearest Neighbors)幀間濾波視頻序列去噪方法。該方法首先對含噪聲的視頻序列中的每一幀圖像進行小波去噪，然后對去噪后的圖像進行基于運動補償?shù)娜SKNN 幀間濾波。實驗結(jié)果顯示，本文中提出的方法可以有效去除視頻序列中的噪聲，同時可以很好地保持運動對象的邊緣。
關(guān)鍵詞：小波去噪；視頻去噪；幀間濾波；運動補償
Abstract: A novel wavelet video denoising method is proposed to remove the residual noise and artifacts after wavelet denoising of individual frames. The method processes each frame of video in two steps: (i)denoising each frame in the wavelet domain, and (ii)3D KNN (K-Nearest Neighbors)filtering based on motion compensation. Experimental results show this method removes noise significantly and preserves motion object boundaries.
Key words: wavelet denoising, video denoising, inter-frame filtering, motion compensation