Projects per year
Abstract
Visual discomfort is related to the statistical regularity of visual images. The contribution of luminance contrast to visual discomfort is well understood and can be framed in terms of a theory of efficient coding of natural stimuli, and linked to metabolic demand. While colour is important in our interaction with nature, the effect of colour on visual discomfort has received less attention. In this study, we build on the established association between visual discomfort and differences in chromaticity across space. We average the local differences in chromaticity in an image and show that this average is a good predictor of visual discomfort from the image. It accounts for part of the variance left unexplained by variations in luminance. We show that the local chromaticity difference in uncomfortable stimuli is high compared to that typical in natural scenes, except in particular infrequent conditions such as the arrangement of colourful fruits against foliage. Overall, our study discloses a new link between visual ecology and discomfort whereby discomfort arises when adaptive perceptual mechanisms are overstimulated by specific classes of stimuli rarely found in nature.
Original language | English |
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Article number | 7111064 |
Number of pages | 11 |
Journal | Frontiers in Neuroscience |
Volume | 15 |
DOIs | |
Publication status | Published - 20 Dec 2021 |
Keywords
- Visual discomfort
- Efficient coding
- Natural scenes
- Image statistics
- Colour
- Chromaticity difference
- Hypermetabolism
Fingerprint
Dive into the research topics of 'Visual discomfort and variations in chromaticity in art and nature'. Together they form a unique fingerprint.Projects
- 2 Finished
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Auditory stress: Auditory stress and the acoustic features of natural sounds
Penacchio, O. (PI)
17/02/20 → 31/01/22
Project: Standard
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Visual salience: Visual salience: patterns that maximally activate the visual system?
Harris, J. (PI)
1/06/19 → 25/07/22
Project: Standard
Datasets
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Visual discomfort and variations in chromaticity in art and nature
Penacchio, O. (Contributor), Haigh, S. (Contributor), Ross, X. (Contributor), Ferguson, R. (Contributor) & Wilkins, A. (Contributor), Dryad, 9 Dec 2021
Dataset
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Visual discomfort and variations in chromaticity in art and nature (software)
Penacchio, O. (Creator), Haigh, S. (Creator), Ross, X. (Creator), Ferguson, R. (Creator) & Wilkins, A. (Creator), Zenodo, 2021
Dataset: Software