Abstract
We propose a block-based signal-dependent noise estimation method on videos, that leverages inter-frame redundancy to separate noise from signal. Block matching is applied to find block pairs between two consecutive frames with similar signal. Then Ponomarenko's method is extended by sorting pairs by their low-frequency energy and estimating noise in the high frequencies. Experiments on three datasets show that this method improves on the state of the art.
| Original language | English |
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| Title of host publication | 2022 IEEE International Conference on Image Processing, ICIP 2022, Proceedings |
| Publisher | IEEE |
| Pages | 1406-1410 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781665496209 |
| ISBN (Print) | 9781665496216 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
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| ISSN (Print) | 1522-4880 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Funding
This work was supported by a grant from Région Île-de-France.
Keywords
- image processing
- Noise estimation
- noise level function
- video processing