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Proceedings Paper

Digital Restoration Of Audio And Video Signals
Author(s): Michael Cannon
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Paper Abstract

In recent years much effort has been devoted to the problem of restoring signals that have been convolutionally degraded, perhaps by a process that can be modeled by a linear system. Typical degraded signals may be one or two-dimensional, such as a resonated audio signal or a blurred photograph. Most approaches to the restoration problem, however, have assumed in advance a knowledge of the degrading system, and have centered around workable methods of restoration. Recent research at Utah has led to the development of a non-linear homomorphic restoration system needing very little a priori information about the system that produced the convolutional degradation.

Paper Details

Date Published: 1 March 1975
PDF: 7 pages
Proc. SPIE 0048, Acquisition and Analysis of Pictorial Data, (1 March 1975); doi: 10.1117/12.954069
Show Author Affiliations
Michael Cannon, University of Utah (United States)

Published in SPIE Proceedings Vol. 0048:
Acquisition and Analysis of Pictorial Data
George A. Michael, Editor(s)

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