2 November 2011 Gray-level image reconstruction using Bessel-Fourier moments
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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.
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C. Toxqui-Quitl, L. Gutiérrez-Lazcano, A. Padilla-Vivanco, C. Camacho-Bello, "Gray-level image reconstruction using Bessel-Fourier moments", 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; https://doi.org/10.1117/12.903391

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