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Proceedings Paper

Optimal nonlinear interpolation of image line scans
Author(s): Robert A. Gaulden; Steven C. Gustafson
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Paper Abstract

This paper describes and illustrates an optimal nonlinear interpolation method that is appropriate for image line scans. It is particularly suitable for the restoration of digital images corrupted by “salt and pepper” noise in which isolated pixels are driven to their minimum and maximum gray values. It assigns gray values to these pixels so that the original smoothness of each line scan is maintained. The method is significant in that smoothness invariance is not achieved using, for example, ordinary low-pass or standard wavelet filtering methods to remove “salt and pepper” noise.

Paper Details

Date Published: 28 May 2003
PDF: 4 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.497849
Show Author Affiliations
Robert A. Gaulden, Air Force Institute of Technology (United States)
Steven C. Gustafson, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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