Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings
In an early study, the so-called “relevant colour” in a painting was heuristically introduced as a term to describe the number of colours that would stand out for an observer when just glancing at a painting. The purpose of this study is to analyse how observers determine the relevant colours by des...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/7/4/72 |
| _version_ | 1827695102108106752 |
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| author | Juan Luis Nieves Juan Ojeda Luis Gómez-Robledo Javier Romero |
| author_facet | Juan Luis Nieves Juan Ojeda Luis Gómez-Robledo Javier Romero |
| author_sort | Juan Luis Nieves |
| collection | DOAJ |
| description | In an early study, the so-called “relevant colour” in a painting was heuristically introduced as a term to describe the number of colours that would stand out for an observer when just glancing at a painting. The purpose of this study is to analyse how observers determine the relevant colours by describing observers’ subjective impressions of the most representative colours in paintings and to provide a psychophysical backing for a related computational model we proposed in a previous work. This subjective impression is elicited by an efficient and optimal processing of the most representative colour instances in painting images. Our results suggest an average number of 21 subjective colours. This number is in close agreement with the computational number of relevant colours previously obtained and allows a reliable segmentation of colour images using a small number of colours without introducing any colour categorization. In addition, our results are in good agreement with the directions of colour preferences derived from an independent component analysis. We show that independent component analysis of the painting images yields directions of colour preference aligned with the relevant colours of these images. Following on from this analysis, the results suggest that hue colour components are efficiently distributed throughout a discrete number of directions and could be relevant instances to a priori describe the most representative colours that make up the colour palette of paintings. |
| first_indexed | 2024-03-10T12:19:50Z |
| format | Article |
| id | doaj.art-f9f03a08a1ff4144aa77ddaad1e39ba6 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-10T12:19:50Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-f9f03a08a1ff4144aa77ddaad1e39ba62023-11-21T15:37:37ZengMDPI AGJournal of Imaging2313-433X2021-04-01747210.3390/jimaging7040072Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of PaintingsJuan Luis Nieves0Juan Ojeda1Luis Gómez-Robledo2Javier Romero3Department of Optics, Faculty of Science, University of Granada, 18071 Granada, SpainDepartment of Optics, Faculty of Science, University of Granada, 18071 Granada, SpainDepartment of Optics, Faculty of Science, University of Granada, 18071 Granada, SpainDepartment of Optics, Faculty of Science, University of Granada, 18071 Granada, SpainIn an early study, the so-called “relevant colour” in a painting was heuristically introduced as a term to describe the number of colours that would stand out for an observer when just glancing at a painting. The purpose of this study is to analyse how observers determine the relevant colours by describing observers’ subjective impressions of the most representative colours in paintings and to provide a psychophysical backing for a related computational model we proposed in a previous work. This subjective impression is elicited by an efficient and optimal processing of the most representative colour instances in painting images. Our results suggest an average number of 21 subjective colours. This number is in close agreement with the computational number of relevant colours previously obtained and allows a reliable segmentation of colour images using a small number of colours without introducing any colour categorization. In addition, our results are in good agreement with the directions of colour preferences derived from an independent component analysis. We show that independent component analysis of the painting images yields directions of colour preference aligned with the relevant colours of these images. Following on from this analysis, the results suggest that hue colour components are efficiently distributed throughout a discrete number of directions and could be relevant instances to a priori describe the most representative colours that make up the colour palette of paintings.https://www.mdpi.com/2313-433X/7/4/72colourcolour visionpaintings |
| spellingShingle | Juan Luis Nieves Juan Ojeda Luis Gómez-Robledo Javier Romero Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings Journal of Imaging colour colour vision paintings |
| title | Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings |
| title_full | Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings |
| title_fullStr | Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings |
| title_full_unstemmed | Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings |
| title_short | Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings |
| title_sort | psychophysical determination of the relevant colours that describe the colour palette of paintings |
| topic | colour colour vision paintings |
| url | https://www.mdpi.com/2313-433X/7/4/72 |
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