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Proceedings Paper

Image Coding By Vector Quantization In A Transformed Domain
Author(s): C. Labit; J. P . Marescq
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Paper Abstract

Using vector quantization in a transformed domain, TV images are coded. The method exploit spatial redundancies of small 4x4 blocks of pixel : first, a DCT (or Hadamard) trans-form is performed on these blocks. A classification algorithm ranks them into visual and transform properties-based classes. For each class, high energy carrying coefficients are retained and using vector quantization, a codebook is built for the AC remaining part of the transformed blocks. The whole of the codeworks are referenced by an index. Each block is then coded by specifying its DC coefficient and associated index.

Paper Details

Date Published: 1 May 1986
PDF: 5 pages
Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952202
Show Author Affiliations
C. Labit, IRISA/Centre INRIA de Rennes (France)
J. P . Marescq, IRISA/Centre INRIA de Rennes (France)

Published in SPIE Proceedings Vol. 0594:
Image Coding
Thomas S. Huang; Murat Kunt, Editor(s)

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