Video Signal-Dependent Noise Estimation via Inter-Frame Prediction

Yanhao LI, Marina GARDELLA, Quentin BAMMEY, Tina NIKOUKHAH, Rafael Grompone VON GIOI, Miguel COLOM, Jean-Michel MOREL*

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)

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 languageEnglish
Title of host publication2022 IEEE International Conference on Image Processing, ICIP 2022, Proceedings
PublisherIEEE
Pages1406-1410
Number of pages5
ISBN (Electronic)9781665496209
ISBN (Print)9781665496216
DOIs
Publication statusPublished - 2022
Externally publishedYes

Publication series

NameProceedings - International Conference on Image Processing, ICIP
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

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