VQ-adaptive block transform coding of images

Hakan Caglar, Sinan Güntürk, Bülent Sankur, Emin Anarim

Research output: Contribution to journalArticlepeer-review

Abstract

Two new design techniques for adaptive orthogonal block transforms based on vector quantization (VQ) codebooks are presented. Both techniques start from reference vectors that are adapted to the characteristics of the signal to be coded, while using different methods to create orthogonal bases. The resulting transforms represent a signal coding tool that stands between a pure VQ scheme on one extreme and signal-independent, fixed block transformation-like discrete cosine transform (DCT) on the other. The proposed technique has superior compaction performance as compared to DCT both in the rendition of details of the image and in the peak signal-to-noise ratio (PSNR) figures.

Original languageEnglish (US)
Pages (from-to)110-115
Number of pages6
JournalIEEE Transactions on Image Processing
Volume7
Issue number1
DOIs
StatePublished - 1998

Keywords

  • Coding gain
  • Orthogonal block transform
  • Permutation
  • Reference vector
  • Vector quantization

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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