In this work, we studied how video compression and lightness scaling interact to affect the overall video quality and the
color quality attributes. We examined three subjective attributes: perceived color preference, perceived color
naturalness, and overall annoyance as digital videos were subjected to compression and lightness scaling.
Psychophysical experiments were carried out in which naïve subjects made numerical judgments of the three subjective
attributes. We found that preference and naturalness scores are concave down functions of mean lightness with an
associated maximum, while annoyance scores are concave up with an associated minimum. As compression increases,
both preference and naturalness scores decrease and vary less with mean lightness. Maximum preference, naturalness,
and annoyance scores generally occur at similar mean lightness values. Preference, naturalness, and annoyance scores
for individual videos, are approximated relatively well by Gaussian functions of mean lightness. Preference and
naturalness scores decreases while annoyance scores increase as an S-shaped function of the logarithm of the total
squared error. A three-parameter model is shown to provide a good description of how each attribute depends on
lightness and compression for individual videos. Model parameters vary with video content.