Digital image gathering and minimum mean-square error restorationMost digital image restoration algorithms are inherently incomplete because they are conditioned on a discrete-input, discrete-output model which only accounts for blurring during image gathering and additive noise. For those restoration applications where sampling and reconstruction are important, the restoration algorithm should be based on a more comprehensive end-to-end model which also accounts for the potentially important noiselike effects of aliasing and the low-pass filtering effects of interpolative reconstruction. It is demonstrated that although the mathematics of this more comprehensive model is more complex, the increase in complexity is not so great as to prevent a complete development and analysis of the associated minimum mean-square error (Wiener) restoration filter.
Document ID
19920059618
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Park, Stephen K. (College of William and Mary Williamsburg, VA, United States)
Reichenbach, Stephen E. (Nebraska, University Lincoln, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1990
Subject Category
Cybernetics
Meeting Information
Meeting: Visual Communications and Image Processing ''90