Paper
1 March 1975 Digital Restoration Of Audio And Video Signals
Michael Cannon
Author Affiliations +
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.
© (1975) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Cannon "Digital Restoration Of Audio And Video Signals", Proc. SPIE 0048, Acquisition and Analysis of Pictorial Data, (1 March 1975); https://doi.org/10.1117/12.954069
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KEYWORDS
Signal processing

Video

Complex systems

Fourier transforms

Photography

Statistical analysis

Convolution

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