Scalable image coding using reversible integer wavelet transforms

Ali Bilgin, Philip J. Sementilli, Fang Sheng, Michael W. Marcellin

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

Reversible integer wavelet transforms allow both lossless and lossy decoding using a single bitstream. We present a new fully scalable image coder and investigate the lossless and lossy performance of these transforms in the proposed coder. The lossless compression performance of the presented method is comparable to JPEG-LS. The lossy performance is quite competitive with other efficient lossy compression methods.

Original languageEnglish (US)
Pages (from-to)1972-1977
Number of pages6
JournalIEEE Transactions on Image Processing
Volume9
Issue number11
DOIs
StatePublished - Nov 2000

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

Fingerprint

Dive into the research topics of 'Scalable image coding using reversible integer wavelet transforms'. Together they form a unique fingerprint.

Cite this