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Proceedings Paper

Redundancy reduction in image coding
Author(s): Zia-ur Rahman; Rachel Alter-Gartenberg; Carl L. Fales; Friedrich O. Huck
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Paper Abstract

We assess redundancy reduction in image coding in terms of the information acquired by the image-gathering process and the amount of data required to convey this information. A clear distinction is made between the theoretically minimum rate of data transmission, as measured by the entropy of the completely decorrelated data, and the actual rate of data transmission, as measured by the entropy of the encoded (incompletely decorrelated) data. It is shown that the information efficiency of the visual communication channel depends not only on the characteristics of the radiance field and the decorrelation algorithm, as is generally perceived, but also on the design of the image-gathering device, as is commonly ignored.

Paper Details

Date Published: 27 August 1993
PDF: 11 pages
Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150941
Show Author Affiliations
Zia-ur Rahman, Science and Technology Corp. (United States)
Rachel Alter-Gartenberg, Old Dominion Univ. (United States)
Carl L. Fales, NASA Langley Research Ctr. (United States)
Friedrich O. Huck, NASA Langley Research Ctr. (United States)

Published in SPIE Proceedings Vol. 1961:
Visual Information Processing II
Friedrich O. Huck; Richard D. Juday, Editor(s)

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