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. © 2022 IEEE.
| Original language | English |
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| Title of host publication | 2022 IEEE International Conference on Image Processing - Proceedings |
| Publisher | IEEE |
| Pages | 1406-1410 |
| ISBN (Electronic) | 978-1-6654-9620-9 |
| ISBN (Print) | 978-1-6654-9621-6 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 29th IEEE International Conference on Image Processing (ICIP 2022) - Virtual, Bordeaux, France Duration: 16 Oct 2022 → 19 Oct 2022 https://2022.ieeeicip.org/ |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
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| ISSN (Print) | 1522-4880 |
| ISSN (Electronic) | 2381-8549 |
Conference
| Conference | 29th IEEE International Conference on Image Processing (ICIP 2022) |
|---|---|
| Place | France |
| City | Bordeaux |
| Period | 16/10/22 → 19/10/22 |
| Internet address |
Research Keywords
- image processing
- Noise estimation
- noise level function
- video processing