A novel method of video noise estimation based on motion estimation

Random noise exists in various kinds of video signals, influencing the efficiency of the image and video signal processing algorithms. A novel method of video noise estimation method based on motion estimation with low computation complexity is given in this paper in order to give a more accurate estimation of the parameters of the Additive Gaussian White Noise (AGWN). Combined with the video encoder, this method can adapt different video signals polluted by noise, with an improved performance of estimation.