Efficient storage and management of radiographic images using a novel wavelet based multiscale vector quantizer

Shuyu Yang, Sunanda Mitra

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Due to the huge volumes of radiographic images to be managed in hospitals, efficient compression techniques yielding no perceptual loss in the reconstructed images are becoming a requirement in the storage and management of such datasets. A wavelet-based multi-scale vector quantization scheme that generates a global codebook for efficient storage and transmission of medical images is presented in this paper. The results obtained show that even at low bit rates one is able to obtain reconstructed images with perceptual quality higher than that of the state-of-the-art scalar quantization method, the set partitioning in hierarchical trees.

Original languageEnglish
Pages (from-to)96-107
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4685
DOIs
StatePublished - 2002
EventMedical Imaging 2002 PACS and Integrated Medical Information Systems: Design and Evaluation - San Diego, CA, United States
Duration: Feb 26 2002Feb 28 2002

Keywords

  • Efficient storage and transmission
  • High fidelity reconstructed images
  • Multi-scale vector extraction
  • Vector quantization
  • Wavelet-based image compression

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