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Proceedings Paper

Image data compression using hybrid POLA-VQ technique
Author(s): Ching-Long Lee; Rong-Hauh Ju; Tsann-Shyong Liu; Bor-Shenn Jeng; Jei-Shyong Huang; Kou-Sou Kan
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Paper Abstract

Vector Quantization (VQ) is a well-known technique for reducing the transmission bit rates or the storage in image coding. It exploits the high correlation and spatial redundancy between neighboring pixels to minimize the mean square error distortion. In this paper, we present a simple and efficient image coding method called hybrid predictive ordering linear approximation and VQ (POLA-VQ). By taking as reference the previous received scan line, the pixels of the present scan line are placed in a decreasing order of amplitudes. The regression line of the ordered pixels is estimated. The linear approximation is refined by computing the one-bit error pattern of the scan line and by selecting an optimal codevector from the codebook. We found that an acceptable quality of coded image at low bit rates can be achieved with our approach.

Paper Details

Date Published: 1 September 1990
PDF: 8 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24281
Show Author Affiliations
Ching-Long Lee, Ministry of Communications (Taiwan)
Rong-Hauh Ju, Ministry of Communications and National Central Univ. (Taiwan)
Tsann-Shyong Liu, Ministry of Communications (Taiwan)
Bor-Shenn Jeng, Ministry of Communications and National Central Univ. (Taiwan)
Jei-Shyong Huang, Ministry of Communications (Taiwan)
Kou-Sou Kan, Ministry of Communications (Taiwan)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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