Reproducing kernel Hilbert space method for optimal interpolation of potential field data
The RKHS-based optimal image interpolation method, presented by Chen and de Figueiredo (1993), is applied to scattered potential field measurements. The RKHS which admits only interpolants consistent with Laplace's equation is defined and its kernel, derived. The algorithm is compared to bicubi...
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Published in | IEEE transactions on image processing Vol. 7; no. 12; pp. 1725 - 1730 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York, NY
IEEE
01.12.1998
Institute of Electrical and Electronics Engineers |
Subjects | |
Online Access | Get full text |
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Summary: | The RKHS-based optimal image interpolation method, presented by Chen and de Figueiredo (1993), is applied to scattered potential field measurements. The RKHS which admits only interpolants consistent with Laplace's equation is defined and its kernel, derived. The algorithm is compared to bicubic spline interpolation, and is found to yield vastly superior results. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 SourceType-Other Sources-1 content type line 63 ObjectType-Correspondence-1 |
ISSN: | 1057-7149 1941-0042 |
DOI: | 10.1109/83.730385 |