Motion estimation and compensation from noisy image sequences: A new filtering scheme

  • Authors:
  • Nawal Benmoussat;M. Faouzi Belbachir;Beloufa Benamar

  • Affiliations:
  • Department of Electronic Engineering, University of Science and Technology of Oran, P.O. Box 1505 El M'Naouer, Algeria;Department of Electronic Engineering, University of Science and Technology of Oran, P.O. Box 1505 El M'Naouer, Algeria;Department of Electronic Engineering, University of Science and Technology of Oran, P.O. Box 1505 El M'Naouer, Algeria

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2007

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Abstract

Motion estimation and compensation are proposed to be used as a filtering scheme. This latter is perceived in the motion compensation stage, when noisy frames are predicted from a clean one in the same sequence. The prediction source frame can be obtained simply by filtering spatially one selected frame in the sequence. The filtering efficiency is under-constrained by the accuracy of the motion vector field estimated between the prediction source and the other noisy frames. A study has been conducted on the motion estimation from noisy image sequences showing the conditions under which the motion vector field accuracy is preserved. Simulation results have shown that a total decrease by about 80% in computation time is achieved compared to the classical motion-compensated filtering.