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: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-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. © 2022 IEEE.
Original languageEnglish
Title of host publication2022 IEEE International Conference on Image Processing - Proceedings
PublisherIEEE
Pages1406-1410
ISBN (Electronic)978-1-6654-9620-9
ISBN (Print)978-1-6654-9621-6
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event29th IEEE International Conference on Image Processing (ICIP 2022) - Virtual, Bordeaux, France
Duration: 16 Oct 202219 Oct 2022
https://2022.ieeeicip.org/

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880
ISSN (Electronic)2381-8549

Conference

Conference29th IEEE International Conference on Image Processing (ICIP 2022)
PlaceFrance
CityBordeaux
Period16/10/2219/10/22
Internet address

Research Keywords

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

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