OPTIMAL PERFECT RECONSTRUCTION FILTER BANKS FOR MULTIRESOLUTION CODING

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$50,000.00
Award Year:
1993
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
21671
Agency Tracking Number:
21671
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1477 Drew Ave Ste 102, Davis, CA, 95616
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Paul M Farrelle
(916) 757-4850
Business Contact:
() -
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.

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