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

Guangtai Ding (), Anping Song () and Wei Huang ()
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Guangtai Ding: Shanghai University, School of Computer Engineering and Science
Anping Song: Shanghai University, School of Computer Engineering and Science
Wei Huang: Shanghai University, School of Computer Engineering and Science

A chapter in Current Trends in High Performance Computing and Its Applications, 2005, pp 265-269 from Springer

Abstract: 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.

Keywords: Hierarchical Cosine transformation; compressed-units; parallel implementation; Vector Quantization; medical image coding (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-27912-9_29

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DOI: 10.1007/3-540-27912-1_29

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