1Centre de Recherches sur la Conservation des Documents Graphiques, Muséum National d’Histoire Naturelle, Centre National de la Recherche Scientifique, 36 rue Geoffroy Saint Hilaire, 75005 Paris, France
We deal with the regulation of chromatic contrast when the induction of a second stimulus (one of five neighboring surrounds) opposes the induction from a first stimulus (one of two remote vivid peripheral fields). Using a hue cancellation judgment, we show that, although every neighboring surround that we used has the same average chromatic content, the resulting color appearance of the target differs between surrounds, and this may be ascribed to the spatiochromatic organization of the surround. So, rather than the chromatic contrast amplitude or the frequential structure of the surround, it is the structure of proximity that matters.
Steven L. Buck, Andrew Shelton, Brooke Stoehr, Vina Hadyanto, Miaolu Tang, Takuma Morimoto, and Tanner DeLawyer J. Opt. Soc. Am. A 33(3) A12-A21 (2016)
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Four factors—observer, periphery, surround, and session and their interactions—were analyzed. A difference is significant when the p value is less than 0.05. Results show significant differences for the factors observer, periphery, and surround and for their interactions. No significant difference is found for the factor session and two of its interactions with the other factors. Significant differences are printed in bold numbers.
Table 2
Comparison of the Averages of the Amount of Induction Obtained with Each Neighboring Scenea
Red Peripheral Inducing Field
Green Peripheral Inducing Field
Compared Scenes
ε
p
Compared Scenes
ε
p
Pixelized–Rectangles
0.127
0.450
Pixelized–Natural
0.746
0.228
Rectangles–Natural
4.388
Natural–Squares
1.765
0.039
Natural–Beach
2.490
0.006
Squares–Rectangles
0.572
0.284
Beach–Squares
2.481
0.007
Rectangles–Beach
1.289
0.099
Squares–Black
28.825
Beach–Black
23.982
The average l values of the scenes are compared two by two according to the ranking of the l value along the l axis by using ε statistics with Eq. (1). If ε is equal to or higher than 1.96, the difference is significant according to the risk factor defined for . Significant differences are printed in bold numbers.
Table 3
Comparison of the Variances of the Amount of Induction Obtained with Each Neighboring Scenea
Red Peripheral Inducing Field
Green Peripheral Inducing Field
Compared Scenes
F
p
Compared Scenes
F
p
Pixelized–Natural
0.914
0.244
Pixelized–Natural
0.779
0.027
Natural–Rectangles
0.674
0.001
Natural–Rectangles
0.853
0.109
Rectangles–Squares
0.844
0.094
Rectangles–Squares
0.814
0.056
Squares–Beach
0.822
0.065
Squares–Beach
0.949
0.342
Beach–Black
0.661
0.001
Beach–Black
0.835
0.081
The variances of the l value of each neighboring scene are ranked and compared two by two by using an F statistics with Eq. (2). For a risk factor of 0.05, the higher limit is , and the lower limit is . If the F statistic result falls outside this interval, the two neighboring scenes are considered significantly different. Significant differences are printed in bold numbers.
Table 4
Comparison of the Averages and of the Variances of the l Value Obtained for Groups of Neighboring Scenesa
Compared Scenes
Red Peripheral Inducing Field
Green Peripheral Inducing Field
ϵ
p
F
p
ϵ
p
F
p
Nat, Pix, Rec—Bea, Squ
9.992
0.581
3.273
0.001
0.665
Bea, Squ—Bla
32.590
0.603
28.338
0.813
0.030
We have grouped the results obtained with the scenes Natural, Pixelized, and Rectangles on the one hand and the scenes Beach and Squares on the other hand, according to their averages and variances of l value. The comparison between the class of scenes Natural–Pixelized–Rectangles and the class of scenes Beach–Squares, as the comparison between the class of scenes Beach–Squares and Black, show a significant difference in terms of average and variance. Significant differences are printed in bold numbers.
Four factors—observer, periphery, surround, and session and their interactions—were analyzed. A difference is significant when the p value is less than 0.05. Results show significant differences for the factors observer, periphery, and surround and for their interactions. No significant difference is found for the factor session and two of its interactions with the other factors. Significant differences are printed in bold numbers.
Table 2
Comparison of the Averages of the Amount of Induction Obtained with Each Neighboring Scenea
Red Peripheral Inducing Field
Green Peripheral Inducing Field
Compared Scenes
ε
p
Compared Scenes
ε
p
Pixelized–Rectangles
0.127
0.450
Pixelized–Natural
0.746
0.228
Rectangles–Natural
4.388
Natural–Squares
1.765
0.039
Natural–Beach
2.490
0.006
Squares–Rectangles
0.572
0.284
Beach–Squares
2.481
0.007
Rectangles–Beach
1.289
0.099
Squares–Black
28.825
Beach–Black
23.982
The average l values of the scenes are compared two by two according to the ranking of the l value along the l axis by using ε statistics with Eq. (1). If ε is equal to or higher than 1.96, the difference is significant according to the risk factor defined for . Significant differences are printed in bold numbers.
Table 3
Comparison of the Variances of the Amount of Induction Obtained with Each Neighboring Scenea
Red Peripheral Inducing Field
Green Peripheral Inducing Field
Compared Scenes
F
p
Compared Scenes
F
p
Pixelized–Natural
0.914
0.244
Pixelized–Natural
0.779
0.027
Natural–Rectangles
0.674
0.001
Natural–Rectangles
0.853
0.109
Rectangles–Squares
0.844
0.094
Rectangles–Squares
0.814
0.056
Squares–Beach
0.822
0.065
Squares–Beach
0.949
0.342
Beach–Black
0.661
0.001
Beach–Black
0.835
0.081
The variances of the l value of each neighboring scene are ranked and compared two by two by using an F statistics with Eq. (2). For a risk factor of 0.05, the higher limit is , and the lower limit is . If the F statistic result falls outside this interval, the two neighboring scenes are considered significantly different. Significant differences are printed in bold numbers.
Table 4
Comparison of the Averages and of the Variances of the l Value Obtained for Groups of Neighboring Scenesa
Compared Scenes
Red Peripheral Inducing Field
Green Peripheral Inducing Field
ϵ
p
F
p
ϵ
p
F
p
Nat, Pix, Rec—Bea, Squ
9.992
0.581
3.273
0.001
0.665
Bea, Squ—Bla
32.590
0.603
28.338
0.813
0.030
We have grouped the results obtained with the scenes Natural, Pixelized, and Rectangles on the one hand and the scenes Beach and Squares on the other hand, according to their averages and variances of l value. The comparison between the class of scenes Natural–Pixelized–Rectangles and the class of scenes Beach–Squares, as the comparison between the class of scenes Beach–Squares and Black, show a significant difference in terms of average and variance. Significant differences are printed in bold numbers.