Description: We propose a novel video denoising method with 3D Context Model in Surfacelet Transform Domain (3DCMST)
in this paper. In order to take advantage of the characteristic of the coefficients , the Context model was extended from 2D to 3D. The
ST coefficients were divided into several parts according to their energy distribution by 3D Context model and each part had inde2
pendent energy estimate and threshold. Experimental results show that the proposed method achieves better denoising performance
than other 3D or hierarchical 2D denoising methods , and remarkably improves the PSNR of video about 2dB. In terms of visual
quality , the proposed method can effectively preserve the video detail ,and the trajectory of motion object is very smooth ,which is
especially adequate to process the video frames with acute movement and plenty of texture.
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