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Proceedings Paper

Color Video Coding For Packet Switched Network: Replenishment Adaptive VQ
Author(s): Yushu Feng; Nasser M. Nasrabadi
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Paper Abstract

Prior work has shown that vector quantization method is a powerful tool in image coding. In order to get further compress ratio, and good quality coded image; by combing an adaptive vector quantization technique with decimation and directional non-linear interpolation; we can get high quality coded image. Since local information content of an image varies widely from one region to another, we use an adaptive method that varies the coding resolution according to local estimate of informatiOn content. This implies a variable-rate coding technique; we use only one stage coding to deal with this high and low detail region. This process is 1. decimation of image vector 2. use adaptive vector quantization technique to get high quality reconstructed image(subsampled) 3. do nonlinear interpolation. See figure 1. It describes a new adaptive vector quantization scheme suitable for color packet video. In the proposed technique, a large codebook is divided into two parts, called higher and lower priority section, representing common and specific characteristics of images. Entries in the two section are reorganized and exchanged as a function of usage of the codevectors. The rate and the extent of adoption is dictated by the update interval and the desired level of quality, respectively, without requiring any transmission of the vectors themselves. This method increases coding efficiency and provides a perceptually more consistent image quality throughout all area of the restructured image. Simulation result shows that for color image bpp is about 0.15-0.25; SNR ratio is 27-30 db.

Paper Details

Date Published: 1 November 1989
PDF: 8 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970166
Show Author Affiliations
Yushu Feng, Worcester Polytechnic Institute (United States)
Nasser M. Nasrabadi, Worcester Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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