Next: Introduction
Pixon-Based Image Restoration
R. C. Puetter and R. K. Piña
Center for Astrophysics and Space Science,
UCSD, 9500 Gilman Drive, La Jolla, CA 92093-0111
Abstract:
This paper presents the theory of the pixon, the fundamental unit of picture
information, and its application to Bayesian image reconstruction.
Examples of the applications of these methods to artificial and real data are
presented. These examples demonstrate that pixon-based methods produce
results superior to both pure Goodness-of-Fit (i.e. Maximum Likelihood)
methods and the best examples of Maximum Entropy methods.
Keywords:
Bayesian Methods, Pixons, Image Modeling