Abstract

ECHEVERRI ARIAS, Jaime Alberto; MANRIQUE LOSADA, Bell; MORENO, Francisco Javier  and  BRAVO, Alejandro. Images improvement using radial basis functions. Rev. ing. univ. Medellín [online]. 2009, vol.8, n.15, suppl.1, pp.21-28. ISSN 1692-3324.

Global support radial base functions are effective in eliminating impulsive noise in non-linear processing. This paper introduces an interpolation technique which efficiently reduces image impulsive noise by means of an interpolant obtained through radial base functions. These functions have been used in a research project designed to develop a system for the recovery of images of Amazonian aquatic resources. This technique starts with the tagging by interpolation of noisy image pixels. Thus, a value of reconstruction for the noisy pixels is generated using neighboring pixels. The results obtained with this technique have proved comparable and often better than those obtained with previously known techniques. According to results analysis, this technique can be successfully applied on images with high noise levels. The results are low error in noisy pixel reconstruction and better visual quality.

Keywords : radial basis functions; computer vision; noisy.

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