Higher-order statistical models of visual images

E P Simoncelli

Published in Proc. IEEE Signal Processing Workshop on Higher-Order Statistics, pp. 54--57, Jun 1999.

DOI: 10.1109/HOST.1999.778691


This paper examines the empirical densities of natural photographic images, and shows that although they are highly non-Gaussian, they are quite regular and may be described using fairly simple parameterized density models. Two such models are described, and their ability to account for image content is demonstrated
  • Listing of all publications