Efficient implementation of a 3-D medical imaging compression system using CAVLC

A Ahmad, A. Amira, M. Guarisco, H. Rabah, Y. Berviller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

This paper describes the design and implementation of context-based adaptive variable length coding (CAVLC) and comparative analysis of trade-off offered by integer transform (IT) and discrete wavelet transform (DWT) for three dimensional 3-D medical image compression systems. The proposed system architectures were synthesised using VHDL and implemented on Xilinx University Program XUPV5-LX110T prototyping board and processed medical volumes were also simulated in MATLAB. An in-depth performance analysis for both software and hardware implementations is presented and reveals a significant achievement.
Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages3773-3776
Number of pages4
ISBN (Print)9781424479948
DOIs
Publication statusPublished - 3 Dec 2010
Externally publishedYes

Publication series

NameIEEE International Conference on Image Processing ICIP
PublisherIEEE
ISSN (Print)1522-4880

Keywords

  • Field programmable gate array (FPGA)
  • medical image compression
  • context-based adaptive variable binary coding (CAVLC)

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