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OPTIMAL PERFECT RECONSTRUCTION FILTER BANKS FOR MULTIRESOLUTION CODING

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
21671
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
21671
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Optical Networks Inc
3450 Hillview Ave Palo Alto, CA 94304
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1993
Title: OPTIMAL PERFECT RECONSTRUCTION FILTER BANKS FOR MULTIRESOLUTION CODING
Agency: NSF
Contract: N/A
Award Amount: $50,000.00
 

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.

Principal Investigator:

Paul M Farrelle
9167574850

Business Contact:

Small Business Information at Submission:

Optivision Inc.
1477 Drew Ave Ste 102 Davis, CA 95616

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No