Издательство Marcel Dekker, 2002, -537 pp.With 300 figures, tables, and equations, this book presents a unified approach to image quality research and modeling. The author discusses the results of different, calibrated psychometric experiments can be rigorously integrated to construct predictive software using Monte Carlo simulations and provides numerous examples of viable field applications for product design and verification of modeling predictions. He covers perceptual measurements for the assessment of individual quality attributes and overall quality, explores variation in scene susceptibility, observer sensitivity, and preference, and includes methods of analysis for testing and refining metrics based on psychometric data.Part I: Characterization of Quality 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 Part II: Design of Objective Metrics Overview of Objective Metric Properties Testing Objective Metrics Using Psychometric Data A Detailed Example of Objective Metric Design Weighting Attributes that Vary Across an Image Analysis of Multi-Attribute Experiments Attribute Interaction Terms in Objective Metrics Attributes Having Multiple Perceptual Facets Image-Specific Factors in Objective Metrics Preference in Color and Tone Reproduction Quantifying Color/Tone Effects in Perceptual Space Part III: Modeling System Quality Propagating Key Measures through Imaging Systems Parametric Estimation of Key Measures Development of Measurement Protocols Integrated System Modeling Software Examples of Capability Analyses Photospace Coverage Metrics Monte Carlo Simulation of System Performance Interpreting Quality Distributions Examples of Performance Calculations Verification of Performance Predictions Appendices Definition of Acronyms and Symbols Sample Quality Ruler Instructions The Integrated Hyperbolic Increment Function Sample Help Screen Useful Optical Formulas and Photospace Coverage
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