Visual perception and the statistical properties of natural scenes.

By Wilson S. Geisler. 2008

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In Cognitive Neuroscience

Citations in the corpus

A systematic comparison between visual cues for boundary detection. (2016, background): “In particular, the past decade of research has witnessed a rapid growth in the use of statistical methods towards natural scene analysis to better understand what types of visual cues provide useful information (see Simoncelli & Olshausen, 2001; Geisler, 2008 for reviews).”
Prey concealment: visual background complexity and prey contrast distribution (2010, background): “…studies on natural scene statistics, which have shown that there is a substantial variation in the different visual aspects of natural environments (e.g., contrast, lightness, and spatiochromatic properties) even within short distances (Párraga et al. 2002; Frazor and Geisler 2006; Geisler 2008).”
Prospective Optimization (2014, background): “However, in some tasks, ranging from sensory perception to decision making, humans and other species can perform at or near the limit that is determined by an ‘‘ideal observer’’ and ‘‘ideal performer’’ that has access to all the essential information and performs perfect inference on that informatio”
Bayesian Perceptual Psychology (2015, background): “10 In some cases, the priors reflect non-obvious statistical regularities about the environment (Geisler, 2008).”
Adaptation and visual coding (2011, background): “The statistical structure of natural scenes has been a subject of intense interest over the last two decades and has resulted in powerful insights into the basic design and of the visual system (Geisler, 2008; Simoncelli & Olshausen, 2001).”
From simple innate biases to complex visual concepts (2012, background): “Both behavioral (8) and physiological (9) evidence support the use and representation of “own hands,” but their possible role in developing hand detection remains unclear.”
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain (2012, background): “In other words, models of natural scenes embody characteristics of the HVS, which is hypothesized to be evolutionally adapted to models conforming to natural scenes [19], [20], [26].”
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality (2011, background): “For example, it is well known that the power spectrum of natural scenes fall-off as (approximately) , where is frequency [9].”
Cognitive and affective responses to natural scenes: Effects of low level visual properties on preference, cognitive load and eye-movements (2015, background): “…locations in the visual pathway are sharply tuned to specific visual spatial frequencies (DeValois & DeValois, 1988), Simoncelli and Olshausen (2001), and Geisler (2008), suggest that visual information is coded in the brain through statistical patterns of component visual spatial frequencies (SF).”
No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics (2015, background): “In this study, we aim to develop a no-reference quality metric for contrast-distorted images (NR-CDIQA) based on natural scene statistics (NSS) [14], [20].”
Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging (2015, background): “The regularity of NSS has been well established in the vision science literature [34], [35].”
Development of human visual function. (2011, neutral): “tics (see reviews by Simonceli (2003) and Geisler (2008)).”
Primary Visual Cortex Represents the Difference Between Past and Present (2013, background): “In contrast to gratings, these images retain important properties of natural stimuli, such as the phase relationships and the typical 1/f fall-off of amplitudes along the spatial dimension (Simoncelli and Olshausen 2001; Geisler 2008; Hyvärinen et al. 2009; see Fig.”