Optimal linear predisplay digital filters.
The problem of reconstructing digital data with nonideal analog interpolators is addressed. A theoretical viewpoint is taken which specifies optimal data reconstructors when a predisplay digital filter is employed. This theory allows for a weighted error definition so that solutions with different desired qualities may be obtained. Results for Gaussian-profiled interpolators show that a factor of approximately 100 in reconstruction-error reduction is achieved with a 13-tap finite-impulse-response predisplay digital filter. The problem of writing negative digital values with incoherent light spots is shown to be avoidable if the signal is reconstructed on photographic film.
Granrath
D J
DJ
Science Applications, Inc., 5055 East Broadway, Tucson, Arizona 85711, USA.
Ryan
T W
TW