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Proceedings Paper

Intra- and interframe image coding via vector quantization
Author(s): Hazem Ahmad Munawer; Otar G. Zumburidze
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Paper Abstract

In this paper, we present two algorithms for intra-and inter-frame image coding via vector quantization (VQ): (1) The intraframe image coding using Wavelet VQ (WVQ): in this case, we carried out several experimental results on the base of a combination between the Wavelet pyramid coding and VQ. (2) The interframe image coding: Here two modifications are proposed; in the first, we identify the moving vectors in each frame using a block matching technique. For each moving vector, a prediction is estimated by searching for the direction of minimum distortion in the previous reconstructed frame. Then the differential vectors are quantized via a simple modified VQ (thresholded VQ) to achieve high compression. The second modification uses moving mask technique to determine the moving object over several successive frames of an image sequence. Then, two codebooks were developed: one for the background vectors (non-moving vectors) and the other for the moving object vectors.

Paper Details

Date Published: 21 April 1995
PDF: 16 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206781
Show Author Affiliations
Hazem Ahmad Munawer, Georgian Technical Univ. (Georgia)
Otar G. Zumburidze, Georgian Technical Univ. (Georgia)

Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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