Temporally adaptive filtering of noisy image sequences using a robust motion estimation algorithm
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15206149,p. 2429-2432 vol.4
- https://doi.org/10.1109/icassp.1991.150891
Abstract
A motion-compensated noise suppression algorithm that employs temporally adaptive filtering along motion trajectories is proposed for image sequences. Filtering is performed via linear minimum mean square error (LMMSE) point estimation. Motion trajectories are determined using a recent motion estimation algorithm, which is capable of performing very well at low signal-to-noise ratios (SNRs). The results suggest that the proposed method is far superior to methods that incorporate implicit or explicit motion compensation, especially in cases of low SNR and/or significant interframe motion.Keywords
This publication has 8 references indexed in Scilit:
- Implicit motion compensated noise reduction of motion video scenesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Motion compensated enhancement of noisy image sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The estimation of velocity vector fields from time-varying image sequencesCVGIP: Image Understanding, 1991
- A pel-recursive Wiener-based displacement estimation algorithmSignal Processing, 1987
- Improved Pel-Recursive Motion CompensationIEEE Transactions on Communications, 1984
- Noise Reduction in Image Sequences Using Motion-Compensated Temporal FilteringIEEE Transactions on Communications, 1984
- Image Sequence AnalysisPublished by Springer Nature ,1981
- Digital Image Enhancement and Noise Filtering by Use of Local StatisticsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1980