Implementation of vector quantization techniques in the transform domain

Herbert Plansky

doi:10.1117/12.131376

1 November 1992 Implementation of vector quantization techniques in the transform domain

Herbert Plansky

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131376
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Herbert Plansky "Implementation of vector quantization techniques in the transform domain", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131376

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