Evolving Wavelet Compression Strategies

reportActive / Technical Report | Accession Number: ADA281247 | Open PDF

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.

Author(s):
Waagen, D. E. ; Argast, J. D. ; Mcdonnell, J. R.
Author Organization(s):
NAVAL COMMAND CONTROL AND OCEAN SURVEILLANCE CENTER RDT AND E DIV SAN DIEGO CA
Descriptive Note:
Professional paper,
Supplementary Note:
DOI: 10.21236/ADA281247
Pagination:
0009

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Monitor Series:
ONR
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
*NEURAL NETS, COMPRESSION, FOURIER TRANSFORMATION, OPTIMIZATION, DETECTION, SIGNALS, IMAGES, SEISMIC DATA, STOCHASTIC PROCESSES, IMAGE PROCESSING, SYMPOSIA
Field(s)/Group(s):
Cybernetics
Keyword(s):
EVOLUTIONARY PROGRAMMING, WAVELET TRANSFORM, PE61152N, WUDN303002
Report Date:
1994 Jun 01