Wavelet-based image coding using nonlinear interpolative vector quantization

X. Wang, E. Chan, M. K. Mandal, S. Panchanathan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In this correspondence, we propose a reduced complexity wavelet-based image coding technique. Here, 64-D (for three stages of decomposition) vectors are formed by combining appropriate coefficients from the wavelet subimages. 16-D feature vectors are then extracted from the 64-D vectors on which vector quantization (VQ) is performed. At the decoder, 64-D vectors are reconstructed using a nonlinear interpolative technique. The proposed technique has a reduced complexity and has the potential to provide a superior coding performance when the codebook is generated using the training vectors drawn from similar images.

Original languageEnglish (US)
Pages (from-to)518-522
Number of pages5
JournalIEEE Transactions on Image Processing
Volume5
Issue number3
DOIs
StatePublished - Dec 1 1996
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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