Digital restoration of multi-channel images

Digital image restoration of monochrome images has been studied extensively, however, problems associated with the restoration of multichannel images still remain to be investigated. In this paper, the Wiener solution of a multichannel restoration system is presented. Using block Toeplitz to block circulant approximation, the inversion of the multichannel imaging system becomes feasible by utilizing a fast iterative matrix inversion procedure. The restoration uses both the within-channel and between-channel correlation, hence the restored result is a better estimate than the one produced by independent channel restoration. Simulations are also presented.