Abstract
This paper describes an efficient filter that implements resampling and restoration of digital images in a single pass. The approach is to derive optimal parameters for a piecewise-cubic, reconstruction function based on a comprehensive model of the imaging process that accounts for acquisition blurring, sampling, noise, and reconstruction artifacts. For many data products produced from remotely sensed images, piecewise-cubic reconstruction is the standard algorithm for resampling. For these products, restoration with the optimal piecewise-cubic function requires virtually no additional processing resources and can significantly improve radiometric fidelity.
Original language | English (US) |
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Pages | 1597-1599 |
Number of pages | 3 |
State | Published - 1996 |
Event | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4) - Lincoln, NE, USA Duration: May 28 1996 → May 31 1996 |
Other
Other | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4) |
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City | Lincoln, NE, USA |
Period | 5/28/96 → 5/31/96 |
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences