1 research outputs found
Visual stream connectivity predicts assessments of image quality
Some biological mechanisms of early vision are comparatively well understood,
but they have yet to be evaluated for their ability to accurately predict and
explain human judgments of image similarity. From well-studied simple
connectivity patterns in early vision, we derive a novel formalization of the
psychophysics of similarity, showing the differential geometry that provides
accurate and explanatory accounts of perceptual similarity judgments. These
predictions then are further improved via simple regression on human behavioral
reports, which in turn are used to construct more elaborate hypothesized neural
connectivity patterns. Both approaches outperform standard successful measures
of perceived image fidelity from the literature, as well as providing
explanatory principles of similarity perception