SCIENCE CHINA Information Sciences, Volume 61 , Issue 1 : 018103(2018) https://doi.org/10.1007/s11432-017-9200-6

## Robust video denoising with sparse and dense noise modelings

• AcceptedJun 21, 2017
• PublishedNov 15, 2017
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### Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant No. 61303168). The authors also thank the support by Youth Innovation Promotion Association CAS.

### Supplement

Appendixes A and B.

### References

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• Figure 1

(Color online) Experiments on videos with mixed noise: Gaussian noise variance ($\delta_1=20$), Poisson noise parameter ($p=10$), salt and pepper(10%). In each group, the upper line and the lower line correspond to global and detailed (zoomed-in) results, respectively.

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