Presented at the
Texas Instruments Digital Signal Processing Systems Fest
Efficient Implementation of Foveation Filtering
Alan C. Bovik, and
Brian L. Evans
Laboratory for Image and Video Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712-1084
In the human eye, the maximum detectable frequency is a
function of the photoreceptor density and eccentricity
(visual angle). The maximum detectable frequency is
obtained by using an exponential model of the spatial sampling grid
on the fovea in the retina and choosing the model parameters such
that the human eye cannot discriminate the foveated image from the
original when assuming a given fixation point in the image being observed.
It can also be used as the cutoff frequency for obtaining a
foveation-filtered image, which is a nonuniform
resolution image with spatial resolution at its peak
near the fixation/foveation point and falling off away
from this point.
Foveation filtering can be implemented using a bank of lowpass filters.
In order to reduce the number of operations, we use separable,
even-symmetric or circularly symmetric lowpass filters.
The number of taps in each filter is adaptively changed according to
the magnitude of the cutoff frequency.
The overall design is amenable to incorporation into implementations of
foveated H.263 compression algorithms on digital signal processors.
Last Updated 05/18/09.