Handbook of Image Quality: Characterization and Prediction
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Summary
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.
Editorial Reviews
"This volume presents the first unified approach to image quality research and modelling to have been applied to systems design and verified in practical applications…intended particularly for image scientists and product engineers, but portions of it should prove useful to individuals involved in project management, manufacturing quality control, marketing, business research, systems performance analysis, human factors and usability assessment, trade journal evaluations, and standard definitions. It is hoped that this publication will focus new attention on, and stimulate further advances in, the fascinating field of image quality."
-Optik, 116 (2005)
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