Apparent color picker: color prediction model to extract apparent color in photos
A color extraction interface reflecting human color perception helps pick colors from natural images as users see. Apparent color in photos differs from pixel color due to complex factors, including color constancy and adjacent color. However, methodologies for estimating the apparent color in photo...
প্রধান লেখক: | , , |
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বিন্যাস: | প্রবন্ধ |
ভাষা: | English |
প্রকাশিত: |
Frontiers Media S.A.
2023-05-01
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মালা: | Frontiers in Signal Processing |
বিষয়গুলি: | |
অনলাইন ব্যবহার করুন: | https://www.frontiersin.org/articles/10.3389/frsip.2023.1133210/full |
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author | Yuki Kubota Shigeo Yoshida Masahiko Inami |
author_facet | Yuki Kubota Shigeo Yoshida Masahiko Inami |
author_sort | Yuki Kubota |
collection | DOAJ |
description | A color extraction interface reflecting human color perception helps pick colors from natural images as users see. Apparent color in photos differs from pixel color due to complex factors, including color constancy and adjacent color. However, methodologies for estimating the apparent color in photos have yet to be proposed. In this paper, the authors investigate suitable model structures and features for constructing an apparent color picker, which extracts the apparent color from natural photos. Regression models were constructed based on the psychophysical dataset for given images to predict the apparent color from image features. The linear regression model incorporates features that reflect multi-scale adjacent colors. The evaluation experiments confirm that the estimated color was closer to the apparent color than the pixel color for an average of 70%–80% of the images. However, the accuracy decreased for several conditions, including low and high saturation at low luminance. The authors believe that the proposed methodology could be applied to develop user interfaces to compensate for the discrepancy between human perception and computer predictions. |
first_indexed | 2024-04-09T13:44:52Z |
format | Article |
id | doaj.art-a149f69c7c20431eb358fec4019efbd2 |
institution | Directory Open Access Journal |
issn | 2673-8198 |
language | English |
last_indexed | 2024-04-09T13:44:52Z |
publishDate | 2023-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Signal Processing |
spelling | doaj.art-a149f69c7c20431eb358fec4019efbd22023-05-09T05:37:18ZengFrontiers Media S.A.Frontiers in Signal Processing2673-81982023-05-01310.3389/frsip.2023.11332101133210Apparent color picker: color prediction model to extract apparent color in photosYuki KubotaShigeo YoshidaMasahiko InamiA color extraction interface reflecting human color perception helps pick colors from natural images as users see. Apparent color in photos differs from pixel color due to complex factors, including color constancy and adjacent color. However, methodologies for estimating the apparent color in photos have yet to be proposed. In this paper, the authors investigate suitable model structures and features for constructing an apparent color picker, which extracts the apparent color from natural photos. Regression models were constructed based on the psychophysical dataset for given images to predict the apparent color from image features. The linear regression model incorporates features that reflect multi-scale adjacent colors. The evaluation experiments confirm that the estimated color was closer to the apparent color than the pixel color for an average of 70%–80% of the images. However, the accuracy decreased for several conditions, including low and high saturation at low luminance. The authors believe that the proposed methodology could be applied to develop user interfaces to compensate for the discrepancy between human perception and computer predictions.https://www.frontiersin.org/articles/10.3389/frsip.2023.1133210/fullcolor perceptioncolor pickerhuman-computer interactionapparent colorhuman factorscolor extraction system |
spellingShingle | Yuki Kubota Shigeo Yoshida Masahiko Inami Apparent color picker: color prediction model to extract apparent color in photos Frontiers in Signal Processing color perception color picker human-computer interaction apparent color human factors color extraction system |
title | Apparent color picker: color prediction model to extract apparent color in photos |
title_full | Apparent color picker: color prediction model to extract apparent color in photos |
title_fullStr | Apparent color picker: color prediction model to extract apparent color in photos |
title_full_unstemmed | Apparent color picker: color prediction model to extract apparent color in photos |
title_short | Apparent color picker: color prediction model to extract apparent color in photos |
title_sort | apparent color picker color prediction model to extract apparent color in photos |
topic | color perception color picker human-computer interaction apparent color human factors color extraction system |
url | https://www.frontiersin.org/articles/10.3389/frsip.2023.1133210/full |
work_keys_str_mv | AT yukikubota apparentcolorpickercolorpredictionmodeltoextractapparentcolorinphotos AT shigeoyoshida apparentcolorpickercolorpredictionmodeltoextractapparentcolorinphotos AT masahikoinami apparentcolorpickercolorpredictionmodeltoextractapparentcolorinphotos |