Human luminance pattern-vision mechanisms: masking experiments require a new model.

By J. M. Foley. 1994

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Citations in the corpus

Normalization as a canonical neural computation (2011, background): “, unlike a superimposed mask for which the suppression is largely nonspecifi”
Digital Video Quality: Vision Models and Metrics (2005, background): “Masking occurs through the inhibitory effect of the normalizing pool (Foley, 1994; Teo and Heeger, 1994a).”
A theory of the discovery and predication of relational concepts. (2008, background): “There is physiological evidence for divisive normalization in the feline visual system (e.g., Albrecht & Geisler, 1991; Bonds, 1989; Heeger, 1992) and psychophysical evidence for divisive normalization in human vision (e.g., Foley, 1994; Thomas & Olzak, 1997).”
ON BETWEEN-COEFFICIENT CONTRAST MASKING OF DCT BASIS FUNCTIONS (2007, background): “Many of the quality metrics proposed were based on properties of HVS, such as CSF and luminance masking [1, 2].”
Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization (2009, methodology): “This type of model has been used to explain nonlinearities in the responses of mammalian cortical neurons (Heeger, 1992; Geisler & Albrecht, 1992) and nonlinear masking phenomenon in human visual perception (Foley, 1994; Teo & Heeger, 1994; Watson & Solomon, 1997).”
Two Distinct Mechanisms of Suppression in Human Vision (2005, background): “Foley (1994) proposed a model of contrast masking that brought psychophysical data for overlay masking into agreement with physiological observations (Chen and Foley, 2004).”
Crowding is unlike ordinary masking: distinguishing feature integration from detection. (2004, background): “Recent models of the “feature detector” to account for ordinary masking are more complicated than this (Foley, 1994; Watson & Solomon, 1997; Wilson & Kim, 1998; Foley & Chen, 1999; Itti, Koch, & Braun, 2000).”
Measurement and modeling of center-surround suppression and enhancement. (2001, methodology): “A number of aspects of the results can be interpreted in terms of the best fit values of the model parameters: For both subjects, (p − q) was 0.3, consistent with previous psychophysical studies of contrast discrimination and contrast appearance (Legge, 1981; Foley, 1994Boynton et al., 1999).”
Crowding--an essential bottleneck for object recognition: a mini-review. (2008, background): “This suppression is divisive (DeAngelis et al., 1994) and probably reflects divisive contrast normalization (Foley, 1994; Heeger, 1992).”
Perceptual Video Coding Based on SSIM-Inspired Divisive Normalization (2013, background): “In general, divisive normalization transform is recognized as a perceptually and statistically motivated non-linear image representation [33], [34].”
A symbolic-connectionist theory of relational inference and generalization. (2003, background): “Albrecht and Geisler (1991), Bonds (1989) and Heeger (1992) present physiological evidence for broadband divisive normalization in the visual system of the cat, and Foley (1994) and Thomas and Olzak (1997) present evidence for divisive normalization in human vision.”
HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions (2011, methodology): “Both psychophysical masking studies [Stromeyer and Julesz 1972; Foley 1994] and neuropsychological recordings [De Valois et al.”
A perceptual distortion metric for digital color images (1998, methodology): “contrast sensitivity and contrast masking experiments [2,6,12].”