Cubic convolution for one-pass restoration and resampling

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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 languageEnglish (US)
Pages1597-1599
Number of pages3
Publication statusPublished - Jan 1 1996
EventProceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4) - Lincoln, NE, USA
Duration: May 28 1996May 31 1996

Other

OtherProceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4)
CityLincoln, NE, USA
Period5/28/965/31/96

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ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Reichenbach, S. E., & Haake, K. (1996). Cubic convolution for one-pass restoration and resampling. 1597-1599. Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4), Lincoln, NE, USA, .