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