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Proceedings Paper

Real Time Video Bandwidth Compression Using Pseudorandom Sampling Pattern And Image Digitization
Author(s): Yvonne Li
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Paper Abstract

Pseudorandom sampling pattern and image digitization have been investigated as a technique to reduce the video bandwidth before transmission. Most techniques commonly used involve some sort of transform which makes transmission in real time impossible. In order to transmit in real time, video quality may be affected in one or more of the following ways - possible loss of data during compression; reduction in sharpness of the picture when played back and the possibility of having unwanted video effects such as dot crawling and dot patterning. Hughes Aircraft Company has conducted a study on these video effects versus different sampling techniques and part of the system design is based on their findings. The pseudorandom pattern sampling and image digitization was investigated for the NASA Johnson Space Center as a part of the Space Station development activities. The need for this development is to avoid a signal overload condition in the multiple access communication link. All downlink signals will be assigned levels of priority before transmission and video signals are usually assigned a lower priority. Therefore, the bandwidth available for video transmission will be limited. This creates the situation where an image must be compressed before downlink. The advantage of using the pseudorandom sampling pattern and image digitization technique is that real time information can be obtained and the viewability of the displayed picture can be maximized even in the high compression ratio mode. This report focuses on two main areas the hardware design/implementation and the sampling technique used for the image compression.

Paper Details

Date Published: 30 January 1990
PDF: 9 pages
Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); doi: 10.1117/12.962310
Show Author Affiliations
Yvonne Li, Lockheed Engineering and Sciences Company (United States)

Published in SPIE Proceedings Vol. 1153:
Applications of Digital Image Processing XII
Andrew G. Tescher, Editor(s)

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