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Proceedings Paper

Data interpolation techniques applied to image modeling
Author(s): David R. Cok
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Paper Abstract

Image models are a fundamental component of mathematically-founded image processing algorithm. Nonlinear, adaptive, local image models have a significant similarity with methods for interpolating data in many-dimensional spaces. The applicability of these methods will be demonstrated by mathematical analysis and experimental application to natural color scenes. In particular, a modification of the method of radial basis functions will be evaluated and various techniques for determining radial basis centers will be compared: random choice, k-means optimal, and two iterative constructive techniques.

Paper Details

Date Published: 19 May 1992
PDF: 12 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58354
Show Author Affiliations
David R. Cok, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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