Parametric methods for gamma and inverse gamma correction, with extensions to halftoning

Users of computer-controlled color video systems rely on procedures called gamma and inverse gamma correction to translate between system-specific descriptions of their stimuli and perceptually meaningful measures that are independent of the video system. These corrections are usually performed using a tabular approach. In the present paper, we detail problems with the tabular approach, suggest a parametric alternative, and describe programs for estimating parameter values. The parametric approach is then illustrated by using gamma and inverse gamma correction to find the best pair of colors for a halftone stimulus (i.e., one combining two different colors).