CLOSED-FORM MAXIMUM-ENTROPY IMAGE-RESTORATION

The use of maximum entropy image restoration has, heretofore, required recursive, or iterative, search routines. This paper, by contrast, de scribes a one-pass, closed-form maximum entropy algorithm. The approac h derives from minimization of a log L-2-error norm between object and reconstruction. The resulting output has the form of the exponential of a Wiener-type filtering of the image data. The logarithmic nature o f the norm gives rise to a tendency toward constant relative error acr oss the output field. (C) 1998 Elsevier Science B.V.