In this paper

a video de-noising method based on 3D wavelet transform and block Context model(3DWTBCM) is proposed. There is a strong correlation between the frames of video sequence

and this correlation can be utilized by de-noising in 3D wavelet domain. In order to take advantage of the characteristic of the coefficients in 3D wavelet domain and noise distribution

wavelet coefficients are partitioned into subblocks firstly according to local relativity of these coefficients

then Context model is used in the corresponding subblock. The wavelet coefficients in each block are divided into several parts according to their energy distribution by 3D Context model and each part is estimated by its independent energy distribution and a suitable threshold is got. Experimental results show that 3DWTBCM achieves better de-noising performance than hierarchical 2D de-noising methods and its PSNRs improves more than 1.5dB averagely compared with common 3D de-noising methods. In terms of visual quality

3DWTBCM can effectively preserve the video detail when de-noising the wavelet coefficients and is especially adequate to process the video frames with acute movement and plenty of texture.