Image Transformations Using Spline Functions.

Alain Giulieri; Gilles Nolibe; Christine Richon

doi:10.1117/12.943390

11 April 1988 Image Transformations Using Spline Functions.

Alain Giulieri, Gilles Nolibe, Christine Richon

Proceedings Volume 0860, Real-Time Image Processing: Concepts and Technologies; (1988) https://doi.org/10.1117/12.943390
Event: 1987 Symposium on the Technologies for Optoelectronics, 1987, Cannes, France

Abstract

In many image processing, the image function values located between sucessive points are needed to be know with a sufficient precision. Indeed, in many applications such as robotics, biomedical imagery or process control, images need to be transformed before being processed. Such transformations allow to make original images closer to reference images. In this paper we propose some image transformation algorithms using spline function interpolation. For the main point, their application domains are image restoring, geometrical transformations or spatial distorsion processing. Comparisons are made among different spline functions to determine which of them is the best solution considering the computation complexity and the processing method efficiency. We also propose an edge detection method using this kind of functions.

Citation Download Citation

Alain Giulieri, Gilles Nolibe, and Christine Richon "Image Transformations Using Spline Functions.", Proc. SPIE 0860, Real-Time Image Processing: Concepts and Technologies, (11 April 1988); https://doi.org/10.1117/12.943390

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