Explaining brightness illusions using spatial filtering and local response normalization

Robinson, Alan; Hammon, Paul S.; de, Virginia R.

doi:10.1016/j.visres.2007.02.017

Cited by 87 publications

(121 citation statements)

References 23 publications

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“…There are many approaches to the study of illusion perception such as Gestalt psychology (Gregory & Heard, 1979;Gilchrist et al, 1999), computational models (Fermüller & Malm, 2004;Robinson et al, 2007), neuro-biological, and cognitive neuro-science approaches (Grossberg & Todorovic, 1988;Penacchio & Otazu, 2013). Our model is a bioplausible computational model inspired by the low level multiscale filtering performed in the retina itself.…”

Section: Introductionmentioning

confidence: 99%

Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision

Nematzadeh

Lewis

Powers

2015

Proceedings of the International Conference on Agents and Artificial Intelligence

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Visual illusions emerge as an attractive field of research with the discovery over the last century of a variety of deep and mysterious mechanisms of visual information processing in the human visual system. Among many classes of visual illusion relating to shape, brightness, colour and motion, "geometrical illusions" are essentially based on the misperception of orientation, size, and position. The main focus of this paper is on illusions of orientation, sometimes referred to as "tilt illusions", where parallel lines appear not to be parallel, a straight line is perceived as a curved line, or angles where lines intersect appear larger or smaller. Although some low level and high level explanations have been proposed for geometrical tilt illusions, a systematic explanation based on model predictions of both illusion magnitude and local tilt direction is still an open issue. Here a neurophysiological model is expounded based on Difference of Gaussians implementing a classical receptive field model of retinal processing that predicts tilt illusion effects.

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Section: Introductionmentioning

confidence: 99%

Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision

Nematzadeh

Lewis

Powers

2015

Proceedings of the International Conference on Agents and Artificial Intelligence

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“…This implies that the length scale of the illusory effect increases with the wavelength of the background waveform, a fact which suggests that the perceptual mechanism which is generating this illusion does not impose any inherent length scale of its own and the length scales observed in the illusory effect are derived from the input stimulus itself. The Oriented Difference of Gaussians (ODOG) spatial filter and its derivatives like LODOG or FLODOG of brightness perception are perceptual models based on this principle [13,14]. However, they too suffer from limitations.…”

Section: General Discussion and Inferencesmentioning

confidence: 99%

“…the smaller length scales) of the stimulus [20]. This observation, it is easy to see, would also be difficult for the image filtering models to reproduce, including the highly successful ODOG model of Blakeslee & McCourt and its derivatives, since in these models tiny changes in input will only produce tiny changes in output and will not wipe out the illusion altogether [13,14].…”

Section: General Discussion and Inferencesmentioning

confidence: 99%

Experimental Observations of the Visibility Threshold of Illusory effects in Hermann Grid, Sinusoidal and Square Gratings and their Possible Implications

Ghosh¹

2017

IJOAO

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Experimental studies have been conducted on the Sinusoidal Grating, Square Grating and Hermann Grid Illusions. Volunteers were presented with a range of input stimuli and asked to report the perceptibility of the illusory effect. We tried to find the thresholds for the parameters within which the illusion is visible. Some noteworthy observations were made from these experiments. We have observed that the length scale of the illusory effect changes with the typical length scale of the input stimulus, almost in proportion, wherefrom one can draw the conclusion that most spatial filters, possessing typical length scales of their own, would not respond to stimuli much smaller or much larger than that typical length scale. We have also found that even tiny changes to the pattern of the Hermann grid illusion is sufficient to wipe out the illusion completely, i.e. the illusion is very sensitive to tiny changes in the input stimulus. These observations indicate that simple linear models such as the DOG (Difference of Gaussians) model or even the highly successful ODOG (Oriented Difference of Gaussians) model of brightness perception are actually inadequate for explaining such effects. The present work thus bears implication for future efforts towards modeling the human visual system, by pointing out certain features that such models must exhibit. Kolkata, India; E-mail: kuntal@isical.ac.in der Psychophysik, Gustav Theodor Fechner (1801-1887) first introduced a class of techniques and psychophysical methods in order to correlate stimulus with sensation [2,3]. Many variations and extensions of these classical methods have since then been proposed, but the very essence of psychophysical experimentations remained same i.e., measurement, characterization and quantification of the perceptual experience using some psychophysical quantities. According to Fechner, and in fact the same was indicated even before him by Johann Friedrich Herbart (1776-1841), Absolute Threshold of any stimulus intensity is an important measurable quantity to judge any stimulus and objectify it's perception in the brain. This was the primary motivation behind the selection of 'absolute threshold' as the focus of this work. The term 'absolute threshold' is defined as the minimum intensity level of stimulus that can be detected reliably by any subject. In this work we have performed some experimental studies on brightness contrast illusions to find the absolute thresholds of perceptibility of the illusory effects. These thresholds were measured as a function of certain characteristic parameters of the stimuli. We have worked on Brightnesscontrast illusions which are considered very important because a complete understanding of these illusions can help us get an insight into the physiological mechanism of lateral inhibition and the cognitive mechanism of brightness perception in our brain. In this particular work, we have taken two widely known brightness contrast illusions the Hermann grid illusion and the Grating induction, for experimentat...

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“…Most of the models come from the so-called DOG rule (Difference of Gaussian) [8]. DOG is a mathematical algorithm based on Gauss filters.…”

Section: Introductionmentioning

confidence: 99%

The influence of the thickness of the grid in Munker-White effect

2015

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Original scientific paper This paper shows the influence of the thickness of the grid on the intensity and assimilation in Munker-White effect. It can be described as the effect of assimilation of grey rectangular elements into the colour of unbroken lines. They are perceived darker in combination with grey and black lines, and lighter in white and grey combination. Measured colorimetric differences are shown in CIEDE2000 system. Three polynomial statistical regression models were created based on the results. Models contain polynomial expressions describing the influence of the grid thickness on the intensity shift of rectangular objects in Munker-White effect. Models were tested statistically and the analysis of measured parameters shows their statistical representativeness. Keywords: assimilation; mathematical model; Munker-White; regression analysis; simultaneous contrast Utjecaj debljine rešetke kod Munker-Whiteovog efektaIzvorni znanstveni članak U radu je opisan utjecaj debljine rešetke na intenzitet simultanog kontrasta i asimilacije kod Munker-Whiteove efekta. Isti možemo opisati kao pojavu gdje se sivi elementi (pravokutni elementi) asimiliraju s bojom neprekinutih linija, koje se u kombinaciji sa sivo-crnim linijama percipiraju tamnije, a sa sivo-bijelim linijama svjetlije. Dobivene kolorimetrijske razlike prikazane su u CIEDE2000 sustavu. Na temelju rezultata napravljena su tri polinomijalna statistička regresijska modela. Modeli sadrže polinomijalne izraze koji opisuju utjecaj debljine rešetke na intenzitet pomaka pojavnosti svjetline pravokutnih elemenata kod Munker-Whiteovog efekta. Modeli su statistički testirani te je analizom dobivenih parametara pokazano da su statistički reprezentativni.

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Explaining brightness illusions using spatial filtering and local response normalization

Cited by 87 publications

References 23 publications

Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision

Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision

Experimental Observations of the Visibility Threshold of Illusory effects in Hermann Grid, Sinusoidal and Square Gratings and their Possible Implications

The influence of the thickness of the grid in Munker-White effect

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