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An optimized cubic interpolator for image resamplingIt is noted that the cubic resampling function is only one member of a family of functions, defined by the single parameter of the slope of the cubic function at its first zero crossing, whose other members are in some cases superior to the standard cubic. This superiority is especially noteworthy with respect to the extent of gray level overshoot induced by the resampling process at high contrast edges. It is shown that there is an optimum member of this 'parametric cubic convolution' family which minimizes the mean-squared radiometric error arising from interpolation. This interpolator requires no additional computation time over the conventional cubic one. These conclusions are supported and illustrated by resampling simulations with both a high resolution digitized aerial image and a Landsat Multispectral Scanner image.
Document ID
19850028125
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Schowengerdt, R. A.
(Arizona Univ. Tucson, AZ, United States)
Gray, R. T.
(Arizona, University Tucson, AZ, United States)
Park, S. K.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1984
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment
Location: Ann Arbor, MI
Start Date: May 9, 1983
End Date: May 13, 1983
Accession Number
85A10276
Funding Number(s)
CONTRACT_GRANT: AF-AFOSR-81-0170
Distribution Limits
Public
Copyright
Other

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