Abstract
Editorial: Using Noise to Characterize Vision.
Highlights
Specialty section: This article was submitted to Perception Science, a section of the journal Frontiers in Psychology
WWII research on radar led to mathematical theorems about detectability of signals in noise, i.e., Signal Detection Theory (Peterson et al, 1954), which allow human performance to be expressed on an absolute scale of efficiency, 0–100% (Tanner and Birdsall, 1958; Pelli and Farell, 1999)
Added noise that varies across space is sometimes called “pixel noise.”
Summary
Specialty section: This article was submitted to Perception Science, a section of the journal Frontiers in Psychology. Noise added to the stimulus can probe the computations underlying perception of the stimulus. Auditory noise revealed the channels of hearing in studies at Bell Labs that characterized how telephone line noise limits perception of speech (Fletcher, 1953). Added visual noise has been widely used to characterize the computations underlying various visual tasks (e.g., detection, discrimination, letter and face recognition, search, averaging, selective attention, perceptual learning) in various populations (e.g., older adults, amblyopes, migrainers, dyslexic children).
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