Handbook of image quality: characterization and prediction by Brian Keelan

By Brian Keelan

With three hundred figures, tables, and equations, this e-book offers a unified method of picture caliber examine and modeling. the writer discusses the result of assorted, calibrated psychometric experiments may be carefully built-in to build predictive software program utilizing Monte Carlo simulations and gives various examples of attainable box functions for product layout and verification of modeling predictions. He covers perceptual measurements for the overview of person caliber attributes and total caliber, explores edition in scene susceptibility, observer sensitivity, and choice, and comprises tools of study for checking out and refining metrics in response to psychometric information.

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Handbook of image quality: characterization and prediction

With three hundred figures, tables, and equations, this ebook offers a unified method of photo caliber learn and modeling. the writer discusses the result of varied, calibrated psychometric experiments might be conscientiously built-in to build predictive software program utilizing Monte Carlo simulations and offers quite a few examples of plausible box functions for product layout and verification of modeling predictions.

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Extra resources for Handbook of image quality: characterization and prediction

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The perceptual uncertainty, reflected in the lack of a deterministic outcome in comparisons of very similar stimuli, can be related to the extremely useful concept of a just noticeable difference (JND). Paired comparisons are effective for measuring very small differences between stimuli, but perceptual scaling techniques are needed to study larger differences efficiently. Stevens (1946) defined the properties of several types of measurement scales that are of utility in image quality assessment, including ordinal, interval, and ratio scales.

5 1. Normal PDF 2. 0 -4 -3 - 2 - 1 0 1 Deviate Fig. 5 Comparison of normal (Gaussian) and angular (arcsine) PDFs. The functions are similar except in the tails, where the angular distribution is truncated. TLFeBOOK The Probabilistic Nature of Perception 31 The angular PDF is obtained by differentiating Eq. 9) The PDF is zero outside the indicated deviate range. 5 compares the normal and angular PDFs, and Fig. 6 their CDFs. The angular and normal distributions are very similar except in their tails, which are truncated in the angular distribution.

The determination of the measured x-values involves some subtleties (which are described in detail in subsequent chapters), but is essentially equivalent to the following procedure. The difference distribution is assumed to be shaped like a Gaussian function at least near its center, so that comparisons of very close samples, yielding relatively low proportions of correct responses, should produce accurate deviate values. These values should also be precise, because the region of saturation (high correct response rates) has been avoided.

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