Abstract
Digital image restoration of monochrome images has been studied extensively. However, problems associated with the restoration of multichannel images still require investigation. In this paper, 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.
| Original language | English |
|---|---|
| Pages (from-to) | 415-421 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Acoustics, Speech and Signal Processing |
| Volume | 37 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 1989 |
| Externally published | Yes |