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Real Time Image Enhancement with Resistive Grids

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
20735
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
20735
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Tanner Research, Inc.
825 S. Myrtle Ave. Monrovia, CA 91016-
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1993
Title: Real Time Image Enhancement with Resistive Grids
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $50,100.00
 

Abstract:

The dynamic range of modern image sensors can exceed the range of a video monitor by an order of magnitude or more. This means that fast and intelligent range compression and image enhancement must be interposed between the sensor and display for effective surveillance and target tracking. Digital hardware can enhance an image in real time, but the common method for range compression on digital hardware, linear filtering, can severely distort the image. We propose to research and develop integrated analog image processors with nearest-neighbor interconnect architectures that carry out nonlinear filtering for range compression and image enhancement at video rates. The nonlinear filtering intelligently compresses the range without distortion. Digital processors, which comsume orders of magnitude more power than this kind of processor, are not capable of applying a similarly effective and distortion-free algorithm in real time. Our Phase I effort will include the design, fabrication and test of circuits to improve the state of the art of such processors, and will include the demonstration and evaluation of an EXISTING low-resolution analog video image processor. Our approach will utilize commercial CMOS/bulk integrated circuit technology; products arising from this R&D can be fabricated reliably and economically by a number of vendors.

Principal Investigator:

Andrew Moore
8187923000

Business Contact:

Small Business Information at Submission:

Tanner Research, Inc.
180 North Vinedo Avenue Pasadena, CA 91107

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