Image Processing By Smoothing Spline Functions

M. J. Peyrovian; A. A. Sawchuk

doi:10.1117/12.954694

9 July 1976 Image Processing By Smoothing Spline Functions

M. J. Peyrovian, A. A. Sawchuk

Proceedings Volume 0074, Image Processing; (1976) https://doi.org/10.1117/12.954694
Event: Image Processing, 1976, Pacific Grove, United States

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.

Citation Download Citation

M. J. Peyrovian and A. A. Sawchuk "Image Processing By Smoothing Spline Functions", Proc. SPIE 0074, Image Processing, (9 July 1976); https://doi.org/10.1117/12.954694

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