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A new parallel architecture for image compression

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3 Author(s)
Shi-Xin Sun ; Coll. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, China ; Chao-yang Pang ; Wen-Yu Chen

Parallel computing technology is an efficient method for image compression because the encoding/decoding needs fast processing. Vector quantization is a hopeful image compression method and very suitable for parallelism. A new parallel architecture is presented for encoding of vector quantization. The new parallel architecture can deduct communication latency obviously but increase the cost of hardware very little.

Published in:

Computer Supported Cooperative Work in Design, 2002. The 7th International Conference on

Date of Conference:

2002

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