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 ~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.
© 1983 Optical Society of America
Douglas J. Granrath and Thomas W. Ryan, "Optimal linear predisplay digital filters," Appl. Opt. 22, 288-297 (1983)