A perceptual space of local image statistics.
Ontology highlight
ABSTRACT: Local image statistics are important for visual analysis of textures, surfaces, and form. There are many kinds of local statistics, including those that capture luminance distributions, spatial contrast, oriented segments, and corners. While sensitivity to each of these kinds of statistics have been well-studied, much less is known about visual processing when multiple kinds of statistics are relevant, in large part because the dimensionality of the problem is high and different kinds of statistics interact. To approach this problem, we focused on binary images on a square lattice - a reduced set of stimuli which nevertheless taps many kinds of local statistics. In this 10-parameter space, we determined psychophysical thresholds to each kind of statistic (16 observers) and all of their pai
SUBMITTER: Victor JD
PROVIDER: S-EPMC4651867 | biostudies-literature | 2015 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA