Efficient multiframe Wiener restoration of blurred and noisy image sequences
- 1 January 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 1 (4) , 453-476
- https://doi.org/10.1109/83.199916
Abstract
Computationally efficient multiframe Wiener filtering algorithms that account for both intraframe (spatial) and interframe (temporal) correlations are proposed for restoring image sequences that are degraded by both blur and noise. One is a general computationally efficient multiframe filter, the cross-correlated multiframe (CCMF) Wiener filter, which directly utilizes the power and cross power spectra of only N×N matrices, where N is the number of frames used in the restoration. In certain special cases the CCMF lends itself to a closed-form solution that does not involve any matrix inversion. A special case is the motion-compensated multiframe (MCMF) filter, where each frame is assumed to be a globally shifted version of the previous frame. In this case, the interframe correlations can be implicitly accounted for using the estimated motion information. Thus the MCMF filter requires neither explicit estimation of cross correlations among the frames nor matrix inversion. Performance and robustness results are givenKeywords
This publication has 12 references indexed in Scilit:
- The estimation of velocity vector fields from time-varying image sequencesCVGIP: Image Understanding, 1991
- Sensitivity of color LMMSE restoration of images to the spectral estimateIEEE Transactions on Signal Processing, 1991
- Least squares restoration of multichannel imagesIEEE Transactions on Signal Processing, 1991
- On modeling the focus blur in image restorationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Temporally adaptive filtering of noisy image sequences using a robust motion estimation algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Survey of recent developments in digital image restorationOptical Engineering, 1990
- A direct algorithm for computing 2-D AR power spectrum estimatesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Multichannel 2-D AR spectrum estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- On the asymptotic eigenvalue distribution of Toeplitz matricesIEEE Transactions on Information Theory, 1972
- A two-dimensional interpolation function for irregularly-spaced dataPublished by Association for Computing Machinery (ACM) ,1968