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Proceedings Paper

Gray-level image reconstruction using Bessel-Fourier moments
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Paper Abstract

In this work, we reconstruct discrete image functions by means Bessel-Fourier polynomials. To measure the image reconstruction we use the Normalized image reconstruction error between the input and reconstructed images. We show that, a good reconstruction performance is found to be available for gray-level images. The reconstruction algorithm is implemented using the first forty zeros of the Bessel functions of the first kind. Experimental results are presented.

Paper Details

Date Published: 2 November 2011
PDF: 9 pages
Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 80112T (2 November 2011); doi: 10.1117/12.903391
Show Author Affiliations
C. Toxqui-Quitl, Univ. Politécnica de Tulancingo (Mexico)
L. Gutiérrez-Lazcano, Univ. Politécnica de Tulancingo (Mexico)
A. Padilla-Vivanco, Univ. Politécnica de Tulancingo (Mexico)
C. Camacho-Bello, Univ. Politécnica de Tulancingo (Mexico)


Published in SPIE Proceedings Vol. 8011:
22nd Congress of the International Commission for Optics: Light for the Development of the World
Ramón Rodríguez-Vera; Ramón Rodríguez-Vera; Ramón Rodríguez-Vera; Rufino Díaz-Uribe; Rufino Díaz-Uribe; Rufino Díaz-Uribe, Editor(s)

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