This volume presents the first unified approach to image quality research and modeling to have been applied to systems design and verified in practical applications.

The Handbook of Image Quality

• demonstrates how the results of different, calibrated psychometric experiments can be rigorously integrated to construct predictive software using Monte Carlo simulations
• provides numerous examples of viable field applications for product design and verification of modeling predictions
• considers perceptual measurements for the assessment of individual quality attributes and overall quality
• explores variation in scene susceptibility, observer sensitivity, and preference
• includes methods of analysis for testing and refining metrics based on psychometric data
• evaluates the use and interpretation of "Just Noticeable Differences" in quantifying univariate quality, multivariate quality, and preference

With nearly 300 figures, tables, and equations, the Handbook of Image Quality is an indispensable reference for image scientists; optical, electrical, and mechanical engineers and physicists; and upper-level undergraduate and graduate students in these disciplines.