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Proceedings Paper

Image Transformations Using Spline Functions.
Author(s): Alain Giulieri; Gilles Nolibe; Christine Richon
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Paper 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.

Paper Details

Date Published: 11 April 1988
PDF: 7 pages
Proc. SPIE 0860, Real-Time Image Processing: Concepts and Technologies, (11 April 1988); doi: 10.1117/12.943390
Show Author Affiliations
Alain Giulieri, Universite de Toulon (France)
Gilles Nolibe, Universite de Toulon (France)
Christine Richon, Universite de Toulon (France)

Published in SPIE Proceedings Vol. 0860:
Real-Time Image Processing: Concepts and Technologies
Jean Besson, Editor(s)

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