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A Kalman Filter based Video Denoising Method Using Intensity and Structure Tensor
2014
KSII Transactions on Internet and Information Systems
We propose a video denoising method based on Kalman filter to reduce the noise in video sequences. Firstly, with the strong spatiotemporal correlations of neighboring frames, motion estimation is performed on video frames consisting of previous denoised frames and current noisy frame based on intensity and structure tensor. The current noisy frame is processed in temporal domain by using motion estimation result as the parameter in the Kalman filter, while it is also processed in spatial domain
doi:10.3837/tiis.2014.08.017
fatcat:ylfmmtfw55brhmqqdmgffm3f2u