part Part I: Characterization of Quality -- chapter 1 Can Image Quality Be Usefully Quantified? -- chapter 2 The Probabilistic Nature of Perception -- chapter 3 Just Noticeable Differences -- chapter 4 Quantifying Preference -- chapter 5 Properties of Ideal Interval and Ratio Scales -- chapter 6 Establishing Image Quality Standards -- chapter 7 Calibrated Psychometrics Using Quality Rulers -- chapter 8 Practical Implementation of Quality Rulers -- chapter 9 A General Equation to Fit Quality Loss Functions -- chapter 10 Scene and Observer Variability -- chapter 11 Predicting Overall Quality from Image Attributes -- part Part II: Design of Objective Metrics -- chapter 12 Overview of Objective Metric Properties -- chapter 13 Testing Objective Metrics Using Psychometric Data -- chapter 14 A Detailed Example of Objective Metric Design -- chapter 15 Weighting Attributes that Vary Across an Image -- chapter 16 Analysis of Multi-Attribute Experiments -- chapter 17 Attribute Interaction Terms in Objective Metrics -- chapter 18 Attributes Having Multiple Perceptual Facets -- chapter 19 Image-Specific Factors in Objective Metrics -- chapter 20 Preference in Color and Tone Reproduction -- chapter 21 Quantifying Color/Tone Effects in Perceptual Space -- part Part III: Modeling System Quality -- chapter 22 Propagating Key Measures through Imaging Systems -- chapter 23 Parametric Estimation of Key Measures -- chapter 24 Development of Measurement Protocols -- chapter 25 Integrated System Modeling Software -- chapter 26 Examples of Capability Analyses -- chapter 27 Photospace Coverage Metrics -- chapter 28 Monte Carlo Simulation of System Performance -- chapter 29 Interpreting Quality Distributions -- chapter 30 Examples of Performance Calculations -- chapter 31 Verification of Performance Predictions.