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A Parallel Approach Based on Hierarchical Decomposition and VQ for Medical Image Coding

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Current Trends in High Performance Computing and Its Applications

Abstract

A scheme of medical image coding is proposed. The method involves the following two steps: 1) Using hierarchical Cosine transform, a medical image is decomposed into a set of so-called compressed-units. Each unit can be transformed and computed parallely in a medical image processing system. 2) Based on the set of compressed-units, generating functions for the codebook used in the vector quantization coding method are constructed.

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References

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Author information

Authors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, Yanchang Rd. 149, Shanghai, 200072, China

    Guangtai Ding, Anping Song & Wei Huang

Authors
  1. Guangtai Ding
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  2. Anping Song
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  3. Wei Huang
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Editor information

Editors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, 200072, Shanghai, People’s Republic of China

    Wu Zhang  & Weiqin Tong  & 

  2. Department of Mathematics, Southern Methodist University, 75275-0156, Dallas, TX, USA

    Zhangxin Chen

  3. Department of Mathematics, University of Houston, 77204-3476, Houston, TX, USA

    Roland Glowinski

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© 2005 Springer-Verlag Berlin Heidelberg

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Ding, G., Song, A., Huang, W. (2005). A Parallel Approach Based on Hierarchical Decomposition and VQ for Medical Image Coding. In: Zhang, W., Tong, W., Chen, Z., Glowinski, R. (eds) Current Trends in High Performance Computing and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27912-1_29

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