We propose a framework for
modeling background clutter in natural images.
Assuming that: (i) images are made up of 2D (projected) views
of 3D (real) objects, and (ii) certain simplifying conditions hold,
we derive an analytical density
for natural images. This expression is
shown to match well
with the observed densities (histograms).
In addition to deriving multi-dimensional
densities, several extensions are also proposed.