ABSTRACT

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 |2 pages

Part I: Characterization of Quality

chapter 1|12 pages

Can Image Quality Be Usefully Quantified?

chapter 2|14 pages

The Probabilistic Nature of Perception

chapter 3|10 pages

Just Noticeable Differences

chapter 4|12 pages

Quantifying Preference

chapter 6|10 pages

Establishing Image Quality Standards

chapter 8|14 pages

Practical Implementation of Quality Rulers

chapter 10|17 pages

Scene and Observer Variability

part |2 pages

Part II: Design of Objective Metrics

part |2 pages

Part III: Modeling System Quality

chapter 23|12 pages

Parametric Estimation of Key Measures

chapter 24|10 pages

Development of Measurement Protocols

chapter 25|8 pages

Integrated System Modeling Software

chapter 26|16 pages

Examples of Capability Analyses

chapter 27|14 pages

Photospace Coverage Metrics

chapter 28|10 pages

Monte Carlo Simulation of System Performance

chapter 29|10 pages

Interpreting Quality Distributions

chapter 30|16 pages

Examples of Performance Calculations

chapter 31|10 pages

Verification of Performance Predictions