VQ-adaptive block transform coding of images

Hakan Caglar, C. Sinan Gunturk, Bülent Sankur, Emin Anarim

Research output: Contribution to journalArticle

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

Fingerprint

Transform Coding
Vector Quantization
Discrete cosine transforms
Vector quantization
Discrete Cosine Transform
Signal to noise ratio
Compaction
Transform
Orthogonal Basis
Codebook
Figure
Extremes
Coding

Keywords

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

VQ-adaptive block transform coding of images. / Caglar, Hakan; Gunturk, C. Sinan; Sankur, Bülent; Anarim, Emin.

In: IEEE Transactions on Image Processing, Vol. 7, No. 1, 1998, p. 110-115.

Research output: Contribution to journalArticle

Caglar, Hakan ; Gunturk, C. Sinan ; Sankur, Bülent ; Anarim, Emin. / VQ-adaptive block transform coding of images. In: IEEE Transactions on Image Processing. 1998 ; Vol. 7, No. 1. pp. 110-115.
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