Opponent Chromatic Induction: Experimental Evaluation and Theoretical Account*

Jameson, Dorothea; Hurvich, Leo M.

doi:10.1364/josa.51.000046

Cited by 177 publications

(56 citation statements)

References 8 publications

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“…The CV values for the three attributes when the lightness of the test colour is 50 were 7.8, 18.4, and 8.1 respectively, which are close to those (11,19,8) found in the test of colour appearance model using LUTCHI data sets. [3][4][5][6][7][8] It shows that the accuracy of the CIECAM02-m2 predictions for three perceptual attributes is acceptable. The colour appearance of a colour surrounded an induction colour, which is different from the background, can be predicted by the CIE-CAM02-m2 colour appearance model.…”

Section: Discussionmentioning

confidence: 99%

“…Colour appearance models provide equations and methodologies to predict the colour appearance in different viewing conditions and have been successfully applied in colour industries. Various colour appearance phenomena, such as Hunt effect, 1 Stevens effect, 2 Helson-Judd effect, 3 and simultaneous contrast effect 4 should be predicted by a colour appearance model. Several colour appearance models have been proposed to predict some of the effects, based on colour vision theories and available experimental data.…”

Section: Introductionmentioning

confidence: 99%

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Proposed modification to the CIECAM02 colour appearance model to include the simultaneous contrast effects

Wardman

2007

Color Research & Application

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A modified CIECAM02 colour appearance model, named CIECAM02-m2, is proposed to enable CIE-CAM02 to predict the simultaneous contrast effect. The structure of the CIECAM02-m2 is a development from CIECAM02, and contains two different procedures for modifying the reference white; one is for lightness and the other is for hue. The model was tested using a data set accumulated in this study and the LUTCHI data. The CV values for three colour attributes between predictions and experimental data were used to evaluate the accuracy of the model. The low CV values obtained show the performance of the CIECAM02-m2 model to predict the simultaneous contrast effect satisfactorily.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Proposed modification to the CIECAM02 colour appearance model to include the simultaneous contrast effects

Wardman

2007

Color Research & Application

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“…This effect is not accounted for by dominant models of simultaneous contrast such as the dual process theory of Jameson and Hurvich (1961), yet recent work by Gordon and Shapley (2006) provides striking evidence in favour of its validity. Given that leading models fail to account for Kirschmann's third law, Gordon and Shapley's claim that their strong confirmation of it "'require a new theory of colour appearance"' (p. 133) is very much to the point.…”

Section: Kirschmann's Third Lawmentioning

confidence: 99%

New Laws of Simultaneous Contrast?

Ekroll

Faul

2012

Seeing and Perceiving

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Drawing on many seemingly disparate and unrelated lines of evidence, we argue that the direction of the simultaneous contrast effect in three-dimensional colour space is given by the difference vector between target and surround ('direction hypothesis'). This challenges the traditional idea according to which the direction of the simultaneous contrast is complementary to the colour of the surround ('complementarity law'). We also argue that the size of the simultaneous contrast effect is either constant or decreases with the difference between target and surround in three-dimensional colour space. The latter proposal challenges Kirschmann's fourth law. Within our theoretical framework, the universally presumed validity of the complementarity law and Kirschmann's fourth law can be understood as resulting from the failure to take various confounding factors into account when interpreting empirical data, the most prominent of which is the influence of temporal von Kries adaptation.

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“…SC refers to how the appearance of a color patch is often influenced by the color that surrounds it (see Figure 1) and has been previously explored using color matching experiments in which participants compare patches of colors surrounded by different colors (e.g., [2,18]). …”

Section: Introductionmentioning

confidence: 99%

Gaze-Contingent Manipulation of Color Perception

Mauderer

Flatla

Nacenta

2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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Using real time eye tracking, gaze-contingent displays can modify their content to represent depth (e.g., through additional depth cues) or to increase rendering performance (e.g., by omitting peripheral detail). However, there has been no research to date exploring how gaze-contingent displays can be leveraged for manipulating perceived color. To address this, we conducted two experiments (color matching and sorting) that manipulated peripheral background and object colors to influence the user's color perception. Findings from our color matching experiment suggest that we can use gaze-contingent simultaneous contrast to affect color appearance and that existing color appearance models might not fully predict perceived colors with gaze-contingent presentation. Through our color sorting experiment we demonstrate how gaze-contingent adjustments can be used to enhance color discrimination. Gazecontingent color holds the promise of expanding the perceived color gamut of existing display technology and enabling people to discriminate color with greater precision.

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Opponent Chromatic Induction: Experimental Evaluation and Theoretical Account*

Cited by 177 publications

References 8 publications

Proposed modification to the CIECAM02 colour appearance model to include the simultaneous contrast effects

Proposed modification to the CIECAM02 colour appearance model to include the simultaneous contrast effects

New Laws of Simultaneous Contrast?

Gaze-Contingent Manipulation of Color Perception

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