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Video Denoising Based on a Spatiotemporal Kalman-Bilateral Mixture Model
2013
The Scientific World Journal
We propose a video denoising method based on a spatiotemporal Kalman-bilateral mixture model to reduce the noise in video sequences that are captured with low light. To take full advantage of the strong spatiotemporal correlations of neighboring frames, motion estimation is first performed on video frames consisting of previously denoised frames and the current noisy frame by using block-matching method. Then, current noisy frame is processed in temporal domain and spatial domain by using
doi:10.1155/2013/438147
pmid:24298217
pmcid:PMC3835876
fatcat:uvhht3f3dbd4zdgjt74ico6oly