A real-time technique for spatio-temporal video noise estimation

Mohammed Ghazal, Aishy Amer, Ali Ghrayeb

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

This paper proposes a spatio-temporal technique for estimating the noise variance in noisy video signals, where the noise is assumed to be additive white Gaussian noise. The proposed technique utilizes domain-wise (spatial, temporal and spatio-temporal) video information independently for improved reliability. It divides the video signal into cubes and measures their homogeneity using Laplacian of Gaussian based operators. Then, the variances of homogeneous cubes are selected to estimate the noise variance. A least median of squares robust estimator is used to reject outliers and produce domain-wise noise variance estimates which are adaptively integrated to obtain the final frame-wise estimate. The proposed technique estimates the noise variance reliably in video sequences with both low and high video activities (e.g., fast motion or high spatial structure) and it produces a maximum estimation error of 1.7 dB PSNR. The proposed method is fast when compared to referenced methods.

Original languageEnglish
Pages (from-to)1690-1699
Number of pages10
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume17
Issue number12
DOIs
Publication statusPublished - 1 Dec 2007

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Keywords

  • Homogeneity measurement
  • Robust estimator
  • Spatio-temporal estimation
  • Video noise
  • White noise

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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