In this paper, we present the results of a study designed to investigate the visual factors which
contribute to the perceived quality of synthesized textures. A psychophysical experiment was
performed in which subjects rated the quality of textures synthesized from a variety of modern
texture-synthesis algorithms. The ratings were given in terms of how well each synthesized texture
represented a sample from the same material from which the original texture was obtained. The
results revealed that the most detrimental artifact was lack of structural details. Other pronounced
artifacts included: (1) misalignment of the texture patterns; (2) blurring introduced in the texture
patterns; and (3) repeating the same patch again and again (tiling). Based on these results, we present
an analysis of the efficacy of various measureable parameters at predicting the ratings. We show how
a linear combination of the parameters from a parametric texture-synthesis algorithm demonstrates
better performance at predicting the ratings compared to traditional quality-assessment algorithms.
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