Discrete-cosine transform coding: information and fidelity

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


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 languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Number of pages12
ISBN (Print)0819408700
StatePublished - 1992
Externally publishedYes
EventVisual Information Processing - Orlando, FL, USA
Duration: Apr 20 1992Apr 22 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherVisual Information Processing
CityOrlando, FL, USA

ASJC Scopus subject areas

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


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