Evolving Wavelet Compression Strategies

Abstract

Wavelet theory provides an attractive approach to signal and image compression. This work investigates a new approach for wavelet transform coefficient selection for efficient image compression. This approach is based on the stochastic optimization of wavelet scale thresholds. Experimental results are compared with results from previously published wavelet image compression strategies. Evolutionary programming, Neural networks, Signal detection.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA281247

Entities

People

  • D. E. Waagen
  • J. D. Argast
  • J. R. Mcdonnell

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Compression
  • Compression Ratio
  • Computer Programming
  • Data Compression
  • Exponential Functions
  • High Resolution
  • Image Compression
  • Iterations
  • Ocean Surveillance
  • Optimization
  • Random Walk
  • Stochastic Processes
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms