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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 Computer Society
Pages1406-1410
Number of pages5
ISBN (Electronic)9781665496209
DOIs
Publication statusPublished - 1 Jan 2022
Externally publishedYes
Event29th IEEE International Conference on Image Processing, ICIP 2022 - Bordeaux, France
Duration: 16 Oct 202219 Oct 2022

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference29th IEEE International Conference on Image Processing, ICIP 2022
Country/TerritoryFrance
CityBordeaux
Period16/10/2219/10/22

Keywords

  • Noise estimation
  • image processing
  • noise level function
  • video processing

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