ABSTRACT
In capability modeling, quality is predicted under just a few selected conditions, which may be chosen somewhat arbitrarily, often to simplify the analysis. In contrast, performance modeling predicts the complete distribution of quality produced by an imaging system in actual customer usage. Compared to capability analyses, performance calculations require more complete underlying models, software of considerably greater sophistication, and more extensive input data. The principal advantage of performance predictions is that they include all pertinent information, and the relative importance of different photographic situations is properly weighted. Although capability calculations are simpler to implement, they are frequently subject to misleading interpretations because the available information is incomplete.
