Visual Perception of Stochastic Resonance

Autor:	Frank Moss, Massimo Riani, Enrico Simonotto, Mark A. Roberts, Jennifer Twitty, Charles Seife
Rok vydání:	1997
Předmět:	Visual perception Image quality business.industry Stochastic resonance Computer science food and beverages General Physics and Astronomy Noise intensity Pattern recognition Noise Visual patterns Psychophysics Artificial intelligence business
Zdroj:	Physical Review Letters. 78:1186-1189
ISSN:	1079-7114 0031-9007
DOI:	10.1103/physrevlett.78.1186
Popis:	Stochastic resonance can be used as a measuring tool to quantify the ability of the human brain to interpret noise contaminated visual patterns. Here we report the results of a psychophysics experiment which show that the brain can consistently and quantitatively interpret detail in a stationary image obscured with time varying noise and that both the noise intensity and its temporal characteristics strongly determine the perceived image quality.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::842ce286ea2c18b2519f236583db7d0d https://doi.org/10.1103/physrevlett.78.1186 Zobrazit plný text záznamu