Brian Keelan

Handbook of Image Quality (eBook, ePUB)

Characterization and Prediction

• Format: ePub

Produktbeschreibung

With 300 figures, tables, and equations, this book presents a unified approach to image quality research and modeling. The author discusses how 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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 544
• Erscheinungstermin: 21. März 2002
• Englisch
• ISBN-13: 9781135559311
• Artikelnr.: 58766533

Autorenporträt

Brian W. Keelan (Author)

Inhaltsangabe

Characterization and quality: can image quality be usefully quantified
the probablistic nature of perception
just noticable 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. Design of objective metrics:overview of objective metric properties
testing objective metrics using psychometric data
a detailed example of objective metric design.