Memory efficient scalable line-based image coding

Erik Ordentlich, David Taubman, Marcelo Weinberger, Gadiel Seroussi, Michael Marcellin

Research output: Chapter in Book/Report/Conference proceedingChapter


We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.

Original languageEnglish (US)
Title of host publicationHP Laboratories Technical Report
PublisherHwelett Packard Lab
Number of pages12
StatePublished - Jan 1999

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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