High Dynamic Range Imaging, 2nd Edition

Visible Difference Predictors

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Image-quality evaluation is important in many applications, from image acquisition, synthesis, and compression to restoration, enhancement, and reproduction. Quality metrics are commonly used in algorithm validation and comparison tasks. For example, to speed up rendering computation, simplifying assumptions are often used in designing novel algorithms, and quality metrics can be used to determine whether this leads to visible image distortions or artifacts. A typical application of quality metrics is the evaluation of various algorithms’ efficiency in terms of texture, image, and video compression. Another group of quality metric tasks is the optimization of algorithms in terms of visual quality. Here, quality ...