Handbook of Image Quality
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.4.4 are applied to a practical example involving contrast preference in Sect. 4.5. Finally, Sect. 4.6 discusses two methods for reducing quality loss arising from preference variability, namely product segmentation ... the two images is sufficient so that nearly all observers can readily see it, so in paired comparisons between the images, ... In the second set of pairs two levels of contrast are similarly arranged.
| Title | : | Handbook of Image Quality |
| Author | : | Brian Keelan |
| Publisher | : | CRC Press - 2002-03-21 |
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