You are here

OPTIMAL PERFECT RECONSTRUCTION FILTER BANKS FOR MULTIRESOLUTION CODING

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: N/A
Agency Tracking Number: 21671
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1993
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
1477 Drew Ave Ste 102
Davis, CA 95616
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul M Farrelle
 (916) 757-4850
Business Contact
Phone: () -
Research Institution
N/A
Abstract

MULTIRESOLUTION COMPRESSION ALGORITHMS OFFER POTENTIAL ADVANTAGES OVER MORE TRADITIONAL VECTOR BASED ALGORITHMS (TRANSFORM CODING, VECTOR QUANTIZATION) SINCE THE BLOCKING ARTIFACT IS NOT PRESENT AND EDGE FIDELITY CAN BE IMPROVED. THE MULTIRESOLUTION REPRESENTATION ITSELF PROVIDES A SOLUTION TO MANY IMAGING APPLICATIONS WHICH NEED TO HANDLE THE SAME IMAGE AS DIFFERENT RESOLUTIONS FOR DISPLAY, PRINTING, BROWSING, ETC. A MULTIRESOLUTION COMPRESSION ALGORITHM, BASED ON PERFECT RECONSTRUCTION QUADRATURE MIRROR FILTERS (QMFS) WHICH ARE USED IN A TREE BASED STRUCTURE TO SPLIT RECURSIVELY THE LOW FREQUENCY BAND, IS BEING CONSIDERED. WAVELETS ARE A SPECIAL CASE OF THESE FILTERS. THE RESEARCH PROVIDES A TECHNIQUE WHERE OPTIMAL FILTERS ARE DESIGNED AND APPLIED TO TYPICAL IMAGERY. THESE FILTERS ARE COMPARED WITH DAUBECHIES' AND MALLAT'S WAVELETS WHICH ARE COMMONLY USED. BOTH OBJECTIVE AND SUBJECTIVE MEASURES ARE MADE AND AN OPTIMAL QMF BANK SELECTED.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government