Preface; Acknowledgments; Introduction; Contents; Can Image Quality Be Usefully Quantified?; The Probabilistic Nature of Perception; Just Noticeable Differences; Quantifying Preference; Properties of Ideal Interval and Ratio Scales; Establishing Image Quality Standards; Calibrated Psychometrics Using Quality Rulers; Practical Implementation of Quality Rulers; A General Equation to Fit Quality Loss Functions; Scene and Observer Variability; Predicting Overall Quality from Image Attributes; Overview of Objective Metric Properties; Testing Objective Metrics Using Psychometric Data.
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This text explains how to mathematically quantify and predict the picture quality distribution that would be produced by a proposed imaging system under actual customer usage. It represents a unified approach to image quality research and modelling applied.