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Proceedings Paper

Real-Time Multi-Directional Data Compression Of Full Motion Video
Author(s): Nicola J Fedele; Alfonse A Acampora; Richard M Bunting
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Paper Abstract

There are a number of applications that necessitate the transmission of real-time images over a narrow bandwidth channel. These applications must utilize effective data compression algorithms in order to achieve their goals. Scientists have struggled to make quality video images over narrow channels utilizing a number of techniques. Many approaches tend to dissect images, exploiting both the temporal and spatial aspects of input sequences, and then to encode the transformed sections in a convenient and efficient approach. The Pyramid Algorithm performs spatial spectral decomposition so that high frequency information can be separated from its lower frequency components. This spatial pyramid transform is integrated into a system which utilizes both spatial and temporal correlation of real-time video sequences; the result is a robust system configuration that meets the required compression. The best acceptable image, given a specific data rate, is achieved by adaptively selecting either a spatial or a temporal algorithm on a pixel-by-pixel basis. Aspects of moving sequences can be classified so as to choose the best algorithm to minimize visible disturbances for that particular class.

Paper Details

Date Published: 24 June 1988
PDF: 9 pages
Proc. SPIE 0901, Image Processing, Analysis, Measurement, and Quality, (24 June 1988); doi: 10.1117/12.944708
Show Author Affiliations
Nicola J Fedele, David Sarnoff Research Center (United States)
Alfonse A Acampora, David Sarnoff Research Center (United States)
Richard M Bunting, David Sarnoff Research Center (United States)


Published in SPIE Proceedings Vol. 0901:
Image Processing, Analysis, Measurement, and Quality
Gary W. Hughes; Patrick E. Mantey; Bernice E. Rogowitz, Editor(s)

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