Discrete-cosine transform coding: information and fidelity

Zia ur Rahman; Rachel Alter-Gartenberg; Stephen E. Reichenbach

Discrete-cosine transform coding: information and fidelity

Zia ur Rahman, Rachel Alter-Gartenberg, Stephen E. Reichenbach

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Publ by Int Soc for Optical Engineering
Pages	226-237
Number of pages	12
ISBN (Print)	0819408700
State	Published - 1992
Externally published	Yes
Event	Visual Information Processing - Orlando, FL, USA Duration: Apr 20 1992 → Apr 22 1992

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1705
ISSN (Print)	0277-786X

Other

Other	Visual Information Processing
City	Orlando, FL, USA
Period	4/20/92 → 4/22/92

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

Discrete-cosine transform coding: information and fidelity. / Rahman, Zia ur; Alter-Gartenberg, Rachel; Reichenbach, Stephen E.
Proceedings of SPIE - The International Society for Optical Engineering. Publ by Int Soc for Optical Engineering, 1992. p. 226-237 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1705).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rahman, ZU, Alter-Gartenberg, R & Reichenbach, SE 1992, Discrete-cosine transform coding: information and fidelity. in Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 1705, Publ by Int Soc for Optical Engineering, pp. 226-237, Visual Information Processing, Orlando, FL, USA, 4/20/92.

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AB - 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.

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ER -

Discrete-cosine transform coding: information and fidelity

Abstract

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ASJC Scopus subject areas

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