Compressed Sensing for Space-Based High-Definition Video Technologies

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,984.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
NNX11CF89P
Award Id:
n/a
Agency Tracking Number:
105662
Solicitation Year:
2010
Solicitation Topic Code:
O3.05
Solicitation Number:
n/a
Small Business Information
DE, Suite 203, Newark, DE, 19711-4685
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
071744143
Principal Investigator:
Fernando Ortiz
Principal Investigator
(302) 456-9003
ortiz@emphotonics.com
Business Contact:
Eric Kelmelis
Business Official
(302) 456-9003
kelmelis@emphotonics.com
Research Institute:
Stub




Abstract
Space-based imaging sensors are important for NASA's mission in both performing scientific measurements and producing literature and documentary cinema. The recent proliferation of high-definition capture devices and displays (HDTV) provide the general public with first-hand human experiences hundreds miles above sea level in brilliant detail. The recent IMAX film "Hubble," which features one of the final space shuttle missions to repair the orbital telescope, is a prime example. The core of current space-based video capture devices consist of digital imaging sensors. Unfortunately, the harsh conditions of space limit the lifespan of all the imaging sensors, in addition to other electronics. Consequently, NASA is seeking innovative technologies for space-based applications to extend the operational life of these systems to three years or more. In this SBIR project, we propose to investigate robust image reconstruction based on novel signal processing techniques in the vein of compressed sensing (CS) to mitigate pixel damage to the point that is imperceptible by the human eye. Specifically, this proposal is a response to the solicitation for radiation-hardened programmable encoding technology as an identified mid-term NASA solution. CS is a recently introduced novel framework that goes against the traditional data acquisition paradigm. CS demonstrates that a sparse, or compressible, signal can be acquired using a low rate acquisition process that projects the signal onto a small set of vectors incoherent with the sparsity basis. This approach is divided into encoder and decoder stages. We propose performing the encoding in-line with acquisition using a low-SWaP, radiation-tolerant FPGA. The robust reconstruction will occur back on Earth where high-performance GPU-accelerated workstations can be used. A benefit of our solution is that it does not require a modification to the original imaging system.

* information listed above is at the time of submission.

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