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The Pixon Method for Data Compression Image Classification, and Image ReconstructionAs initially proposed, this program had three goals: (1) continue to develop the highly successful Pixon method for image reconstruction and support other scientist in implementing this technique for their applications; (2) develop image compression techniques based on the Pixon method; and (3) develop artificial intelligence algorithms for image classification based on the Pixon approach for simplifying neural networks. Subsequent to proposal review the scope of the program was greatly reduced and it was decided to investigate the ability of the Pixon method to provide superior restorations of images compressed with standard image compression schemes, specifically JPEG-compressed images.
Document ID
20020052633
Acquisition Source
Goddard Space Flight Center
Document Type
Contractor or Grantee Report
Authors
Puetter, Richard
(California Univ., San Diego La Jolla, CA United States)
Yahil, Amos
(State Univ. of New York Stony Brook, NY United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2002
Subject Category
Documentation And Information Science
Report/Patent Number
UCSD-20-5313/CSS8397/28397A
Report Number: UCSD-20-5313/CSS8397/28397A
Funding Number(s)
CONTRACT_GRANT: NAG5-9506
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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