Video Denoising Based on a Spatiotemporal Kalman-Bilateral Mixture Model

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...

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Bibliographic Details
Main Authors: Chenglin Zuo, Yu Liu, Xin Tan, Wei Wang, Maojun Zhang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/438147
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