為了去除單幀圖像小波去噪后殘留的噪聲和去噪時(shí)引入的類似脈沖噪聲的偽細(xì)節(jié)，提出
一種基于運(yùn)動(dòng)補(bǔ)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(jìn)行小波去噪，然后對去噪后的圖像進(jìn)行基于運(yùn)動(dòng)補(bǔ)償?shù)娜SKNN 幀間濾波。實(shí)驗(yàn)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(shí)可以很好地保持運(yùn)動(dòng)對象的邊緣。
關(guān)鍵詞：小波去噪；視頻去噪；幀間濾波；運(yùn)動(dòng)補(bǔ)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