NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Collections About News Help Login
Back to Results
COxSwAIN: Compressive Sensing for Advanced Imaging and NavigationThe COxSwAIN project focuses on building an image and video compression scheme that can be implemented in a small or low-power satellite. To do this, we used Compressive Sensing, where the compression is performed by matrix multiplications on the satellite and reconstructed on the ground. Our paper explains our methodology and demonstrates the results of the scheme, being able to achieve high quality image compression that is robust to noise and corruption.
Document ID
20160001623
Acquisition Source
Langley Research Center
Document Type
Contractor Report (CR)
Authors
Kurwitz, Richard (Texas A&M System Univ. College Station, TX, United States)
Pulley, Marina (Texas A&M System Univ. College Station, TX, United States)
LaFerney, Nathan (Texas A&M System Univ. College Station, TX, United States)
Munoz, Carlos (Texas A&M System Univ. College Station, TX, United States)
Date Acquired
February 5, 2016
Publication Date
December 1, 2015
Subject Category
Mathematical And Computer Sciences (General)
Communications And Radar
Report/Patent Number
NASA/CR-2015-219000
NF1676L-23143
Funding Number(s)
CONTRACT_GRANT: NNX13AR50A
WBS: WBS 579853.04.02.08.02
Distribution Limits
Public
Copyright
Public Use Permitted.

Related Records

There are no records associated with this record.
No Preview Available