Image data compression using hybrid POLA-VQ technique

Ching-Long Lee; Rong-Hauh Ju; Tsann-Shyong Liu; Bor-Shenn Jeng; Jei-Shyong Huang; Kou-Sou Kan

doi:10.1117/12.24281

1 September 1990 Image data compression using hybrid POLA-VQ technique

Ching-Long Lee, Rong-Hauh Ju, Tsann-Shyong Liu, Bor-Shenn Jeng, Jei-Shyong Huang, Kou-Sou Kan

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24281
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

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.

Citation Download Citation

Ching-Long Lee, Rong-Hauh Ju, Tsann-Shyong Liu, Bor-Shenn Jeng, Jei-Shyong Huang, and Kou-Sou Kan "Image data compression using hybrid POLA-VQ technique", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24281

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