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.