Abstract:

An improved video denoising method based on motion compensated sphere bilateral filtering (MCSBF) is proposed. For video sequence degraded by noise, the reference frames of the current frame are built first by motion compensation between the current frame and the past/future frames. Then in the three-dimensional space which is composed of the current frame and the compensated reference frames, a three-dimensional bilateral filter in which the filtering window is a sphere is used to suppress the noise in the current frame. By fully utilizing temporal and spatial correlations in video content, the proposed method can effectively suppress the noise in the video while keeps textures and details well. Simulation results show that MCSBF outperforms conventional denoising methods like spatial temporal joint filtering scheme (JNT), spatial temporal varying filter (STVF) and multi-hypothesis motion compensated filter (MHMCF) both in peak signal noise ratio (PSNR) and visual quality.