Progressive image coding using trellis coded quantization

Ali Bilgin, Philip J. Sementilli, Michael W Marcellin

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

In this work, we present coding techniques that enable progressive transmission when trellis coded quantization (TCQ) is applied to wavelet coefficients. A method for approximately inverting TCQ in the absence of least significant bits is developed. Results are presented using different rate allocation strategies and different entropy coders. The proposed wavelet-TCQ coder yields excellent coding efficiency while supporting progressive modes analogous to those available in JPEG.

Original languageEnglish (US)
Pages (from-to)1638-1643
Number of pages6
JournalIEEE Transactions on Image Processing
Volume8
Issue number11
DOIs
StatePublished - 1999

Fingerprint

Image Coding
Image coding
Quantization
Entropy
Coding
Progressive Transmission
Wavelet Coefficients
Wavelets

Keywords

  • Image coding
  • Image compression
  • JPEG 2000
  • Progressive transmission
  • Trellis coded quantization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Graphics and Computer-Aided Design
  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

Cite this

Progressive image coding using trellis coded quantization. / Bilgin, Ali; Sementilli, Philip J.; Marcellin, Michael W.

In: IEEE Transactions on Image Processing, Vol. 8, No. 11, 1999, p. 1638-1643.

Research output: Contribution to journalArticle

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