Share Email Print

Proceedings Paper

Digital Restoration Of Audio And Video Signals
Author(s): Michael Cannon
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top