Multiresolution Compression Schemes for Medical Image and Volume Data

Abstract

In this paper we propose a multiresolution compression scheme applied to image and volume data. It is intended for rapid browsing in graphical files, in which some regions of interest may exist; therefore the compression algorithms focus on incorporating quick full-reconstruction procedures, both in images and volumes. This scheme is based on vector quantization of the coefficients of a wavelet decomposition. The differences in the methods lie on how vectors in the multiresolution decompositions are selected for vector quantization. We have also developed a client-server application using this scheme, which allows images with increasing levels of detail to be represented in the client system, as they are received from the server and decoded. Numerical results show the performances of all the selections made.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411461

Entities

People

  • Carlos Alberola
  • Jorge Sanz De Acedo
  • Juan Ruiz-alzola
  • Miguel A. Martin

Organizations

  • University of Valladolid

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Availability
  • Classification
  • Coefficients
  • Compression
  • Contracts
  • Data Compression
  • Decomposition
  • Electrical Engineering
  • Engineering
  • Mathematics
  • Military Research
  • Monitoring
  • Standardization

Fields of Study

  • Engineering

Readers

  • Business Analytics
  • Computer Networking
  • Image Processing and Computer Vision.