A Gaussian Derivative Based Transform
In the following pages we present a fully invertable, non-orthogonal, two-dimensional,
spatial/spatial frequency representation intended primarily for image data. This
representation has been inspired by a the Gaussian derivative model of simple cortical
cells of the V1. Being based on a model of human vision, we expect this transform to
be useful for representing visual information (images).
