Integrated Wavelet, Fractal and Neural Network Video Compression System

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$68,223.00
Award Year:
1994
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
26536
Agency Tracking Number:
26536
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
5080 Shoreham Place, Suite, 201, San Diego, CA, 92122
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Mr. Dan Greenwood
(619) 625-6255
Business Contact:
() -
Research Institute:
n/a
Abstract
Current data rates for use on IR/EO LOROPS or ATARS platforms can exceed 120Mb/s, and, thus, a digital image sequence must be coded prior to transmission and storage. To remove the redundant information, which always exists in image sequences, most video compression techniques use 2D coding to achieve spatial compression and motion compensated difference coding in the time dimension. We propose to apply the wavelet transform, fractals, and neural networks independently in all three dimensions to reduce the computational complexity of coding while achieving high rates of compression. A 3D video coding method which combines simultaneous spatial and temporal domain predictions in an attempt to code effectively the 3D wavelet tranform coefficent of image sequence will be developed as part of our project. Our architecture will produce the best compression integrating three independent methods.

* information listed above is at the time of submission.

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