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Proceedings Paper

Subregion search algorithm for efficient VQ encoding of images
Author(s): Man-Yee Lee Anson; Jian Feng
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Paper Abstract

In this paper, we new sub-region search algorithm is proposed for fast encoding of image vector quantization. In the proposed scheme, we will only search a portion of the codebook to locate the best match vector of each input vector according to the state of its neighboring blocks. A block transition criterion is developed for selecting the subset of codebook for searching. Simulation results show that the encoding time required by the proposed algorithm is just about 10 - 20% of that required by the full search with almost the same output image quality.

Paper Details

Date Published: 30 May 2000
PDF: 8 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386682
Show Author Affiliations
Man-Yee Lee Anson, City Univ. of Hong Kong (Hong Kong)
Jian Feng, City Univ. of Hong Kong (Hong Kong)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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