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STRUCTURE-ORIENTED SPATIO-TEMPORAL VIDEO NOISE ESTIMATION Mohammed Ghazal, Aishy Amer and Ali Ghrayeb
 

Summary: STRUCTURE-ORIENTED SPATIO-TEMPORAL VIDEO NOISE ESTIMATION
Mohammed Ghazal, Aishy Amer and Ali Ghrayeb
Electrical and Computer Engineering, Concordia University
MontrŽeal, QuŽebec, Canada
{moha mo,amer,aghrayeb}@ece.concordia.ca
ABSTRACT
Noise can highly impact the performance of video process-
ing algorithms. This paper proposes a new real-time
spatio-temporal method for estimating the noise vari-
ance in video signals. The proposed algorithm selects 3D
regions or cubes in the video signal with high intensity
uniformity. The noise variance is estimated from the se-
lected set of spatially, temporally and spatio-temporally
intensity-uniform cubes using local variances calculated
along homogeneous plains. The proposed algorithm works
well for sequences with high structure and motion activ-
ity and outperforms other methods with a worst-case
estimation error of 2 dB. It works well for highly noisy
and non-noisy sequences.
1. INTRODUCTION

  

Source: Amer, Aishy - Department of Electrical and Computer Engineering, Concordia University

 

Collections: Engineering