title: Image discrimination models predict detection in fixed but not random noise.
abstract: By means of a two-interval forced-choice procedure, contrast detection thresholds for an aircraft positioned on a simulated airport runway scene were measured with fixed and random white-noise masks. The term fixed noise refers to a constant, or unchanging, noise pattern for each stimulus presentation. The random noise was either the same or different in the two intervals. Contrary to simple image discrimination model predictions, the same random noise condition produced greater masking than the fixed noise. This suggests that observers seem unable to hold a new noisy image for comparison. Also, performance appeared limited by internal process variability rather than by external noise variability, since similar masking was obtained for both random noise types.
authors.affiliation: NASA Ames Research Center, Moffett Field, California 94035-1000, USA.
authors.forename: A J
authors.initials: AJ
authors.lastname: Ahumada
authors.forename: B L
authors.initials: BL
authors.lastname: Beard
mesh_terms: D004192:Discrimination, Psychological / Q000502:physiology*; D005544:Forecasting; D006801:Humans; D010470:Perceptual Masking / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods; D011897:Random Allocation; D014796:Visual Perception / Q000502:physiology*