Data interpolation techniques applied to image modeling

David R. Cok

doi:10.1117/12.58354

19 May 1992 Data interpolation techniques applied to image modeling

David R. Cok

Proceedings Volume 1657, Image Processing Algorithms and Techniques III; (1992) https://doi.org/10.1117/12.58354
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

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.

Citation Download Citation

David R. Cok "Data interpolation techniques applied to image modeling", Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); https://doi.org/10.1117/12.58354

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