Share Email Print
cover

Proceedings Paper

Implementation of vector quantization techniques in the transform domain
Author(s): Herbert Plansky
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This article presents a coding scheme using variable block-size transform coding together with vector quantization (VQ). This coding scheme shows a satisfying picture quality at bitrates of about 0.3 - 0.6 bit/pel (coding of the luminance signal only). The coding technique is suited for multimedia, computer, and distribution applications due to its asymmetry in complexity and its inherent hierarchical structure. The picture is segmented into rectangles of different sizes. These rectangles are transformed by a two-dimensional DCT and coded by VQ based on analysis in the spatial and transform domain. A decomposition scheme of the rectangles into vectors which is adapted to non-stationary signals like edges will be introduced. Computer simulations compare the results of constant and variable blocksize TVQ. The second part of the article discusses the problems of implementing VQ resulting from large code tables and high computational complexity. Strategies for avoiding these drawbacks are presented.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131376
Show Author Affiliations
Herbert Plansky, Technische Univ. Munchen (Germany)


Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

© SPIE. Terms of Use
Back to Top