Asymmetric lossless image compression

Nasir D. Memon, Khalid Sayood

Research output: Contribution to journalConference articlepeer-review


Lossless image compression is required in situations where compression is done once and decompression is to be performed a multiple number of times. A technique for asymmetric lossless image compression is presented. It gives superior performance compared to standard lossless compression techniques by exploiting global correlations. Global correlations means similar pixel patterns that re-occur within the image, not necessarily at close proximity. The developed technique can also be adapted for use in symmetric applications that require high compression ratios. The scheme is based on the notion of a prediction pattern which is simply a k×k array with each of its elements representing a prediction scheme from a given set of predictors.

Original languageEnglish (US)
Pages (from-to)457
Number of pages1
JournalData Compression Conference Proceedings
StatePublished - 1995
Externally publishedYes
EventProceedings of the 5th Data Compression Conference - Snowbird, UT, USA
Duration: Mar 28 1995Mar 30 1995

ASJC Scopus subject areas

  • Computer Networks and Communications


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