Predictive image compression using conditional averages

Ş D. Babacan, K. Sayood

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

The prediction of image compression using conditional averages, was discussed. The decision on which context to use was based on the set of encoded pixels which was available to both encoder and decoder. The performance of the proposed predictor was compared with the GAP predictor used in CALIC and MED predictor used in JPEG-LS. The amount of gain varied from a high of 27% for the Elif image to a low of 4.4% for the Mandrill image.

Original languageEnglish (US)
Number of pages1
JournalData Compression Conference Proceedings
Publication statusPublished - Jun 14 2004
EventProceedings - DCC 2004 Data Compression Conference - Snowbird, UT., United States
Duration: Mar 23 2004Mar 25 2004

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ASJC Scopus subject areas

  • Computer Networks and Communications

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