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Proceedings Paper

Color image coding using variable blocksize vector quantization in (R,G,B,) domains
Author(s): Ching-Yang Wang; Long-Wen Chang
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Paper Abstract

Vector Quantization (VQ) is a popular image coding scheme with high data compression ratio. However, its major drawback is the edges in the reconstructed image are very poor if the codebook size isn't large enough. In this paper, we use the Variable Blocksize Vector Quantization (VBVQ) instead of a fixed blocksize VQ to code color images in the (R, G, B) domain. In order to alleviate block effect and preserve the edge well, we choose 4 X 4 X 3 as the largest block and 1 X 1 X 3 as the smallest block. For each blocksize we generate a codebook by using LBG's algorithm. The image is first decomposed into variable blocks and each block uses its corresponding codebook for vector quantization. In our simulation results, the bit rate is from 0.4 bpp (bit per pixel) to 1.1 bpp with PSNR (peak signal to noise ratio) of Y component from 28 db to 36 db. Our VBVQ outperforms conventional fixed blocksize 2 X 2 X 3 VQ with 512 codevectors in the codebook.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131468
Show Author Affiliations
Ching-Yang Wang, National Tsing Hua Univ. (Taiwan)
Long-Wen Chang, National Tsing Hua Univ. (Taiwan)

Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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