What The Statistics Of Natural Images Tell Us About Visual Coding

By David J. Field. 1989

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Geometric Deep Learning: Going beyond Euclidean data (2016, background): “the data such as stationarity and compositionality through local statistics, which are present in natural images, video, and speech [14], [15].”
What Is the Goal of Sensory Coding? (1994, background): “This approach has been specifically proposed with respect to visual code and the representations of natural scenes (Field 1987,1989,1993; Zetzsche 1990).”
Peripheral vision and pattern recognition: a review. (2011, methodology): “Talbot and Marshall (1941) studied this in the central part of the visual field and derived a projection factor that could be expressed by a single number. Yet acuity data and receptor densities remained in the center of interest (e.g. Pirenne, 1962). Weymouth (1958) concluded”
Health benefits of nature experience: Psychological, social and cultural processes (2011, background): “The way these ‘channels’ are distributed in spatial frequency parallels the scaling relationship of the fractal patterns in the observed scenery (Field 1989; Knill et al. 1990; Rogowitz and Voss 1990.”
Could information theory provide an ecological theory of sensory processing? (2011, background): “…processing in space-time and colour (Atick and Redlich 1990a, b; 1992a; Atick et al. 1990, 1991), and there are encouraging signs that it could be equally successful in predicting some of the cortical computation strategies (Barlow 1989; Field 1989; Barlow and Foldiak 1989; Atick et al. 1992).”