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Handbook of image quality / Brian W.Keelan

Public ISBD Titre : Handbook of image quality : characterization and prediction Type de document : texte imprimé Auteurs : Brian W.Keelan, Auteur Editeur : New York : Marcel Dekker Année de publication : 2002 Importance : XX-516 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-8247-0770-5 Note générale : Bibliogr. : p.493-500. Index. Langues : Anglais (eng) Mots-clés : Image  processing Optical  images Traitement  d'images Traitement  d'images  --  Techniques  numériques Index. décimale : 621.397.3 Analyse et reproduction des images.Exploration. Résumé : 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. Note de contenu : Contents *Characterization of Quality *Ch1-Can Image Quality Be Usefully Quantified? *Ch2-The Probabilistic Nature of Perception *Ch3-Just Noticeable Differences *Ch4-Quantifying Preference *Ch5-Properties of Ideal Interval and Ratio Scales *Ch6-Establishing Image Quality Standards *Ch7-Calibrated Psychometrics Using Quality Rulers *Ch8-Practical Implementation of Quality Rulers *Ch9-A General Equation to Fit Quality Loss Functions *Ch10-Scene and Observer Variability *Ch11-Predicting Overall Quality from Image Attributes *Ch12-Overview of Objective Metric Properties *Ch13-Testing Objective Metrics Using Psychometric Data *Ch14-A Detailed Example of Objective Metric Design *Ch15-Weighting Attributes that Vary Across an Image *Ch16-Analysis of Multi-Attribute Experiments *Ch17-Attribute Interaction Terms in Objective Metrics *Ch18-Attributes Having Multiple Perceptual Facets *Ch19-Image-Specific Factors in Objective Metrics *Ch20-Preference in Color and Tone Reproduction *Ch21-Quantifying Color/Tone Effects in Perceptual Space *Ch22-Propagating Key Measures through Imaging Systems *Ch23-Parametric Estimation of Key Measures *Ch24-Development of Measurement Protocols *Ch25-Integrated System Modeling Software *Ch26-Examples of Capability Analyses *Ch27-Photospace Coverage Metrics *Ch28-Monte Carlo Simulation of System Performance *Ch29-Interpreting Quality Distributions *Ch30-Examples of Performance Calculations *Ch31-Verification of Performance Predictions *Conclusion Handbook of image quality : characterization and prediction [texte imprimé] / Brian W.Keelan, Auteur . - New York : Marcel Dekker, 2002 . - XX-516 p. : ill. ; 24 cm. ISBN : 978-0-8247-0770-5 Bibliogr. : p.493-500. Index. Langues : Anglais (eng) Mots-clés : Image  processing Optical  images Traitement  d'images Traitement  d'images  --  Techniques  numériques Index. décimale : 621.397.3 Analyse et reproduction des images.Exploration. Résumé : 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. Note de contenu : Contents *Characterization of Quality *Ch1-Can Image Quality Be Usefully Quantified? *Ch2-The Probabilistic Nature of Perception *Ch3-Just Noticeable Differences *Ch4-Quantifying Preference *Ch5-Properties of Ideal Interval and Ratio Scales *Ch6-Establishing Image Quality Standards *Ch7-Calibrated Psychometrics Using Quality Rulers *Ch8-Practical Implementation of Quality Rulers *Ch9-A General Equation to Fit Quality Loss Functions *Ch10-Scene and Observer Variability *Ch11-Predicting Overall Quality from Image Attributes *Ch12-Overview of Objective Metric Properties *Ch13-Testing Objective Metrics Using Psychometric Data *Ch14-A Detailed Example of Objective Metric Design *Ch15-Weighting Attributes that Vary Across an Image *Ch16-Analysis of Multi-Attribute Experiments *Ch17-Attribute Interaction Terms in Objective Metrics *Ch18-Attributes Having Multiple Perceptual Facets *Ch19-Image-Specific Factors in Objective Metrics *Ch20-Preference in Color and Tone Reproduction *Ch21-Quantifying Color/Tone Effects in Perceptual Space *Ch22-Propagating Key Measures through Imaging Systems *Ch23-Parametric Estimation of Key Measures *Ch24-Development of Measurement Protocols *Ch25-Integrated System Modeling Software *Ch26-Examples of Capability Analyses *Ch27-Photospace Coverage Metrics *Ch28-Monte Carlo Simulation of System Performance *Ch29-Interpreting Quality Distributions *Ch30-Examples of Performance Calculations *Ch31-Verification of Performance Predictions *Conclusion

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
047409	621.397.3 KEE	Papier	Bibliothèque Centrale	Electronique	Disponible