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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.