Adaptive wavelet coding of images

J. H. Kasner, Michael W Marcellin

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In this work, we propose end-to-end image compression/decompression systems based on the discrete wavelet transform (DWT), entropy-constrained trellis coded quantization (ECTCQ), and arithmetic coding. Two forms of adaptation (codebook and image subblock) are investigated. The baseline system uses neither form of adaptation, while the adaptive systems use one or both forms of adaptivity. Excellent peak signal-to-noise ratios are obtained for the 512x512 "Lenna" image. Comparison of the systems with other results from the literature show that the fully adaptive system is quite competitive.

Original languageEnglish (US)
Article number413827
Pages (from-to)358-362
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume3
DOIs
StatePublished - 1994

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Adaptive systems
Discrete wavelet transforms
Image compression
Signal to noise ratio
Entropy

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Adaptive wavelet coding of images. / Kasner, J. H.; Marcellin, Michael W.

In: Proceedings - International Conference on Image Processing, ICIP, Vol. 3, 413827, 1994, p. 358-362.

Research output: Contribution to journalArticle

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