Digital restoration of multichannel images
- 1 March 1989
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Acoustics, Speech, and Signal Processing
- Vol. 37 (3) , 415-421
- https://doi.org/10.1109/29.21708
Abstract
The Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization and block-Toeplitz to block-circulant approximation, the inversion of the multichannel, linear space-invariant imaging system becomes feasible by utilizing a fast iterative matrix inversion procedure. The restoration uses both the within-channel (spatial) and between-channel (spectral) correlation; hence, the restored result is a better estimate than that produced by independent channel restoration. Simulations are also presented.link_to_subscribed_fulltexKeywords
This publication has 4 references indexed in Scilit:
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- A family of computationally efficient algorithms for multichannel signal processing—A tutorial reviewSignal Processing, 1983
- The Application of Constrained Least Squares Estimation to Image Restoration by Digital ComputerIEEE Transactions on Computers, 1973
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