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Proceedings Paper

Image Processing By Smoothing Spline Functions
Author(s): M. J. Peyrovian; A. A. Sawchuk
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Paper Abstract

Spline functions, because of their highly desirable interpolating and approximating characteristics, are an interesting alternative to the conventional pulse approximation method in digital image modeling. For uniformly spaced knots, a class of spline functions called B-splines is used as a basis in a linear imaging system. A controllable smoothing criteria based on the local statistics and minimization of the second derivative is defined, and the corresponding filter is obtained for restoration of noisy blurred images.

Paper Details

Date Published: 9 July 1976
PDF: 7 pages
Proc. SPIE 0074, Image Processing, (9 July 1976); doi: 10.1117/12.954694
Show Author Affiliations
M. J. Peyrovian, University of Southern California (United States)
A. A. Sawchuk, University of Southern California (United States)


Published in SPIE Proceedings Vol. 0074:
Image Processing
John C. Urbach, Editor(s)

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