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Proceedings Paper

Discrete-cosine transform coding: information and fidelity
Author(s): Zia-ur Rahman; Rachel Alter-Gartenberg; Stephen E. Reichenbach
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Paper Abstract

Generally, image compression algorithms are developed, and implemented, without taking into account the distortions injected into the process by the image-gathering and the image-display systems. Often, these distortions degrade the quality of the displayed image more than those due to coding and quantization. We assess the whole coding process--from image capture to image display--using information-theoretical analysis. The restoration procedure which we develop for (Discrete Cosine) transform coded images takes into account not only the quantization errors introduced by the coding, but also the aliasing and blurring errors due to (non-ideal) image gathering and display. This procedure maximizes the information content of the image-gathering and the fidelity of the resultant restorations.

Paper Details

Date Published: 1 October 1992
PDF: 12 pages
Proc. SPIE 1705, Visual Information Processing, (1 October 1992); doi: 10.1117/12.138461
Show Author Affiliations
Zia-ur Rahman, Science and Technology Corp. (United States)
Rachel Alter-Gartenberg, Old Dominion Univ. (United States)
Stephen E. Reichenbach, Univ. of Nebraska/Lincoln (United States)


Published in SPIE Proceedings Vol. 1705:
Visual Information Processing
Friedrich O. Huck; Richard D. Juday, Editor(s)

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