Title :
Digital restoration of multichannel images
Author :
Galatsanos, Nikolas P. ; Chin, Roland T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
3/1/1989 12:00:00 AM
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
Keywords :
picture processing; Wiener solution; block-Toeplitz to block-circulant approximation; correlation; iterative matrix inversion; matrix diagonalization; multichannel images; picture processing; restoration; space-invariant imaging; Degradation; Image color analysis; Image restoration; Image sensors; Laser radar; Layout; Optical imaging; Optical sensors; Satellites; Signal restoration;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
