TY - JOUR
T1 - The oriented difference-of-Gaussians model of brightness perception
AU - McCourt, Mark E.
AU - Blakeslee, Barbara
AU - Cope, Davis
N1 - Funding Information:
This research was supported by NIH P20 GM103505 (MEM) and NSF BCS 1430503 (BB, MEM). The National Institute of General Medical Sciences (NIGMS) is a component of the National Institutes of Health (NIH). The contents of this report are solely the responsibility of the authors and do not necessarily reflect the official views of the NIH, NIGMS, or NSF. The authors declare no conflict of interest.
Publisher Copyright:
© 2016 Society for Imaging Science and Technology.
PY - 2016
Y1 - 2016
N2 - The Oriented Difference-of-Gaussians (ODOG) model of brightness perception is based on linear spatial filtering by oriented receptive fields followed by contrast/response normalization. The ODOG model can parsimoniously predict the perceived intensity (brightness) of regions in many visual stimuli including White's effect. Unlike competing explanations such as anchoring theory, filling-in, edge-integration, or layer decomposition, spatial filtering by the ODOG model accounts for the gradient structure of induction which, while most striking in grating induction, also occurs within the test fields of classical simultaneous brightness contrast and the White stimulus. Because the ODOG model does not require defined regions of interest it can be applied to arbitrary stimuli, including natural images. We give a detailed description of the ODOG model and illustrate its operation on the Black and White Mondrian stimulus similar to that used by Land & McCann [31] to demonstrate their Retinex model of lightness perception/constancy.
AB - The Oriented Difference-of-Gaussians (ODOG) model of brightness perception is based on linear spatial filtering by oriented receptive fields followed by contrast/response normalization. The ODOG model can parsimoniously predict the perceived intensity (brightness) of regions in many visual stimuli including White's effect. Unlike competing explanations such as anchoring theory, filling-in, edge-integration, or layer decomposition, spatial filtering by the ODOG model accounts for the gradient structure of induction which, while most striking in grating induction, also occurs within the test fields of classical simultaneous brightness contrast and the White stimulus. Because the ODOG model does not require defined regions of interest it can be applied to arbitrary stimuli, including natural images. We give a detailed description of the ODOG model and illustrate its operation on the Black and White Mondrian stimulus similar to that used by Land & McCann [31] to demonstrate their Retinex model of lightness perception/constancy.
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U2 - 10.2352/issn.2470-1173.2016.6.retinex-019
DO - 10.2352/issn.2470-1173.2016.6.retinex-019
M3 - Conference article
AN - SCOPUS:85088407012
SN - 2470-1173
JO - IS and T International Symposium on Electronic Imaging Science and Technology
JF - IS and T International Symposium on Electronic Imaging Science and Technology
T2 - Retinex at 50
Y2 - 14 February 2016 through 18 February 2016
ER -