Accession Number:

ADA281247

Title:

Evolving Wavelet Compression Strategies

Descriptive Note:

Professional paper,

Corporate Author:

NAVAL COMMAND CONTROL AND OCEAN SURVEILLANCE CENTER RDT AND E DIV SAN DIEGO CA

Personal Author(s):

• Waagen, D. E.
• Argast, J. D.
• McDonnell, J. R.

Report Date:

1994-06-01

Pagination or Media Count:

9.0

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.

Descriptors:

• *NEURAL NETS
• COMPRESSION
• FOURIER TRANSFORMATION
• OPTIMIZATION
• DETECTION
• SIGNALS
• IMAGES
• SEISMIC DATA
• STOCHASTIC PROCESSES
• IMAGE PROCESSING
• SYMPOSIA

Subject Categories:

• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE