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Non-linear Post Processing Image EnhancementA non-linear filter for image post processing based on the feedforward Neural Network topology is presented. This study was undertaken to investigate the usefulness of "smart" filters in image post processing. The filter has shown to be useful in recovering high frequencies, such as those lost during the JPEG compression-decompression process. The filtered images have a higher signal to noise ratio, and a higher perceived image quality. Simulation studies comparing the proposed filter with the optimum mean square non-linear filter, showing examples of the high frequency recovery, and the statistical properties of the filter are given,
Document ID
20010000419
Acquisition Source
Headquarters
Document Type
Conference Paper
Authors
Hunt, Shawn
(Puerto Rico Univ. Mayaguez, Puerto Rico)
Lopez, Alex
(Eastman Kodak Co. Rochester, NY United States)
Torres, Angel
(Motorola, Inc. Fort Lauderdale, FL United States)
Date Acquired
August 20, 2013
Publication Date
February 1, 1997
Publication Information
Publication: NASA University Research Centers Technical Advances in Education, Aeronautics, Space, Autonomy, Earth and Environment
Volume: 1
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
URC97060
Funding Number(s)
CONTRACT_GRANT: CAN NCCN-0088
CONTRACT_GRANT: NSF CDA-89-13486
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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