Intra- and interframe image coding via vector quantization

Hazem Ahmad Munawer; Otar G. Zumburidze

doi:10.1117/12.206781

21 April 1995 Intra- and interframe image coding via vector quantization

Hazem Ahmad Munawer, Otar G. Zumburidze

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206781
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

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.

Citation Download Citation

Hazem Ahmad Munawer and Otar G. Zumburidze "Intra- and interframe image coding via vector quantization", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206781

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KEYWORDS

Image compression

Wavelets

Quantization

Computer programming

Distortion

Image quality

Image transmission

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