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Use of System Image Quality Models to Improve Product Design

At Eastman Kodak Company full-system image quality modeling has been regularly used in formulating business strategies, guiding design decisions, establishing product aims, budgeting system tolerances, and benchmarking products. Development of a general image quality model includes the following stages: (1) linking psychophysical responses and objective measurements to create attributespecific predictive equations; (2) creating a mathematical method for predicting the combined effects of multiple image quality attributes; (3) building a capability model that predicts the output of systems operating under ideal conditions; (4) building a performance model that generates the complete frequency distribution of final image quality, including contributions from manufacturing, environmental, and customer-induced variability sources, and where possible (5) creating automated system design features that optimize the component specifications based on the predicted image quality. This paper will review specific examples where image quality models have been used to improve the design of conventional and digital systems.