Wavelet and Vector Quantization Image Compression for Noisy Channel Transmission

Abstract

In the research conducted under this grant, we addressed the problem of transmitting images compressed with high quality wavelet compression algorithms over packet erasure networks, multiple description channels, and noisy communication channels. In addition, we developed new methods for wavelet image compression based on group testing; developed a variation of the set partitioning in hierarchical trees algorithm; and developed a method for fast search of an entropy-constrained vector quantization codebook.

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Document Details

Document Type
Technical Report
Publication Date
Jan 21, 2000
Accession Number
ADA379065

Entities

People

  • Eve A. Riskin
  • Richard Ladner

Organizations

  • University of Washington

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Algorithms
  • Channel Coding
  • Coders
  • Coding
  • Coefficients
  • Communication Channels
  • Compression
  • Computer Programming
  • Computer Science
  • Data Analysis
  • Data Compression
  • Electrical Engineering
  • Engineering
  • Image Compression
  • Image Processing
  • Packet Loss
  • Students

Fields of Study

  • Engineering

Readers

  • Computer Networking
  • Image Processing and Computer Vision.