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Perception of suprathreshold naturalistic changes in colored natural images

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Perception of suprathreshold naturalistic changes in colored natural images. / To, Michelle P S; Lovell, P. George; Troscianko, Tom et al.
In: Journal of Vision, Vol. 10, No. 4, 2010, p. 12.1-22.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

To, MPS, Lovell, PG, Troscianko, T & Tolhurst, DJ 2010, 'Perception of suprathreshold naturalistic changes in colored natural images', Journal of Vision, vol. 10, no. 4, pp. 12.1-22. https://doi.org/10.1167/10.4.12

APA

To, M. P. S., Lovell, P. G., Troscianko, T., & Tolhurst, D. J. (2010). Perception of suprathreshold naturalistic changes in colored natural images. Journal of Vision, 10(4), 12.1-22. https://doi.org/10.1167/10.4.12

Vancouver

To MPS, Lovell PG, Troscianko T, Tolhurst DJ. Perception of suprathreshold naturalistic changes in colored natural images. Journal of Vision. 2010;10(4):12.1-22. doi: 10.1167/10.4.12

Author

To, Michelle P S ; Lovell, P. George ; Troscianko, Tom et al. / Perception of suprathreshold naturalistic changes in colored natural images. In: Journal of Vision. 2010 ; Vol. 10, No. 4. pp. 12.1-22.

Bibtex

@article{4502159f4c094d7ea6fc0720e9a2d2bc,
title = "Perception of suprathreshold naturalistic changes in colored natural images",
abstract = "Simple everyday tasks, such as visual search, require a visual system that is sensitive to differences. Here we report how observers perceive changes in natural image stimuli, and what happens if objects change color, position, or identity-i.e., when the external scene changes in a naturalistic manner. We investigated whether a V1-based difference-prediction model can predict the magnitude ratings given by observers to suprathreshold differences in numerous pairs of natural images. The model incorporated contrast normalization and surround suppression, and elongated receptive-fields. Observers' ratings were better predicted when the model included phase invariance, and even more so when the stimuli were inverted and negated to lessen their semantic impact. Some feature changes were better predicted than others: the model systematically underpredicted observers' perception of the magnitude of blur, but over-predicted their ability to report changes in textures.",
keywords = "Photic Stimulation, Form Perception, Contrast Sensitivity, Humans, Color Perception, Nonlinear Dynamics, Predictive Value of Tests, Models, Neurological, Psychophysics, Visual Fields, Sensory Thresholds, Motion Perception",
author = "To, {Michelle P S} and Lovell, {P. George} and Tom Troscianko and Tolhurst, {David J}",
year = "2010",
doi = "10.1167/10.4.12",
language = "English",
volume = "10",
pages = "12.1--22",
journal = "Journal of Vision",
issn = "1534-7362",
publisher = "Association for Research in Vision and Ophthalmology Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Perception of suprathreshold naturalistic changes in colored natural images

AU - To, Michelle P S

AU - Lovell, P. George

AU - Troscianko, Tom

AU - Tolhurst, David J

PY - 2010

Y1 - 2010

N2 - Simple everyday tasks, such as visual search, require a visual system that is sensitive to differences. Here we report how observers perceive changes in natural image stimuli, and what happens if objects change color, position, or identity-i.e., when the external scene changes in a naturalistic manner. We investigated whether a V1-based difference-prediction model can predict the magnitude ratings given by observers to suprathreshold differences in numerous pairs of natural images. The model incorporated contrast normalization and surround suppression, and elongated receptive-fields. Observers' ratings were better predicted when the model included phase invariance, and even more so when the stimuli were inverted and negated to lessen their semantic impact. Some feature changes were better predicted than others: the model systematically underpredicted observers' perception of the magnitude of blur, but over-predicted their ability to report changes in textures.

AB - Simple everyday tasks, such as visual search, require a visual system that is sensitive to differences. Here we report how observers perceive changes in natural image stimuli, and what happens if objects change color, position, or identity-i.e., when the external scene changes in a naturalistic manner. We investigated whether a V1-based difference-prediction model can predict the magnitude ratings given by observers to suprathreshold differences in numerous pairs of natural images. The model incorporated contrast normalization and surround suppression, and elongated receptive-fields. Observers' ratings were better predicted when the model included phase invariance, and even more so when the stimuli were inverted and negated to lessen their semantic impact. Some feature changes were better predicted than others: the model systematically underpredicted observers' perception of the magnitude of blur, but over-predicted their ability to report changes in textures.

KW - Photic Stimulation

KW - Form Perception

KW - Contrast Sensitivity

KW - Humans

KW - Color Perception

KW - Nonlinear Dynamics

KW - Predictive Value of Tests

KW - Models, Neurological

KW - Psychophysics

KW - Visual Fields

KW - Sensory Thresholds

KW - Motion Perception

UR - http://www.scopus.com/inward/record.url?scp=77956403910&partnerID=8YFLogxK

U2 - 10.1167/10.4.12

DO - 10.1167/10.4.12

M3 - Journal article

C2 - 20465332

VL - 10

SP - 12.1-22

JO - Journal of Vision

JF - Journal of Vision

SN - 1534-7362

IS - 4

ER -