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A dichotomy color quantization algorithm for the HSI color space
Color quantization is used to obtain an image with the same number of pixels as the original but represented using fewer colors. Most existing color quantization algorithms are based on the Red Green Blue (RGB) color space, and there are few color quantization algorithms for the Hue Saturation Inten...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199057/ https://www.ncbi.nlm.nih.gov/pubmed/37208419 http://dx.doi.org/10.1038/s41598-023-34977-0 |
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author | Yu, Xia Zhuang, Huaiyu Cui, Yani Deng, Jiaxian Ren, Jia Long, Haixia |
author_facet | Yu, Xia Zhuang, Huaiyu Cui, Yani Deng, Jiaxian Ren, Jia Long, Haixia |
author_sort | Yu, Xia |
collection | PubMed |
description | Color quantization is used to obtain an image with the same number of pixels as the original but represented using fewer colors. Most existing color quantization algorithms are based on the Red Green Blue (RGB) color space, and there are few color quantization algorithms for the Hue Saturation Intensity (HSI) color space with a simple uniform quantization algorithm. In this paper, we propose a dichotomy color quantization algorithm for the HSI color space. The proposed color quantization algorithm can display images with a smaller number of colors than other quantization methods of RGB color space. The proposed algorithm has three main steps as follows: first, a single-valued monotonic function of the Hue (H) component in the from RGB color space to HSI color space (RGB-HSI) color space conversion is constructed, which can avoid the partition calculation of the H component in the RGB-HSI color space; second, an iterative quantization algorithm based on the single-valued monotonic function is proposed; and third, a dichotomy quantization algorithm is proposed to improve the iterative quantization algorithm. Both visual and numerical evaluations reveal that the proposed method presents promising quantization results. |
format | Online Article Text |
id | pubmed-10199057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101990572023-05-21 A dichotomy color quantization algorithm for the HSI color space Yu, Xia Zhuang, Huaiyu Cui, Yani Deng, Jiaxian Ren, Jia Long, Haixia Sci Rep Article Color quantization is used to obtain an image with the same number of pixels as the original but represented using fewer colors. Most existing color quantization algorithms are based on the Red Green Blue (RGB) color space, and there are few color quantization algorithms for the Hue Saturation Intensity (HSI) color space with a simple uniform quantization algorithm. In this paper, we propose a dichotomy color quantization algorithm for the HSI color space. The proposed color quantization algorithm can display images with a smaller number of colors than other quantization methods of RGB color space. The proposed algorithm has three main steps as follows: first, a single-valued monotonic function of the Hue (H) component in the from RGB color space to HSI color space (RGB-HSI) color space conversion is constructed, which can avoid the partition calculation of the H component in the RGB-HSI color space; second, an iterative quantization algorithm based on the single-valued monotonic function is proposed; and third, a dichotomy quantization algorithm is proposed to improve the iterative quantization algorithm. Both visual and numerical evaluations reveal that the proposed method presents promising quantization results. Nature Publishing Group UK 2023-05-19 /pmc/articles/PMC10199057/ /pubmed/37208419 http://dx.doi.org/10.1038/s41598-023-34977-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yu, Xia Zhuang, Huaiyu Cui, Yani Deng, Jiaxian Ren, Jia Long, Haixia A dichotomy color quantization algorithm for the HSI color space |
title | A dichotomy color quantization algorithm for the HSI color space |
title_full | A dichotomy color quantization algorithm for the HSI color space |
title_fullStr | A dichotomy color quantization algorithm for the HSI color space |
title_full_unstemmed | A dichotomy color quantization algorithm for the HSI color space |
title_short | A dichotomy color quantization algorithm for the HSI color space |
title_sort | dichotomy color quantization algorithm for the hsi color space |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199057/ https://www.ncbi.nlm.nih.gov/pubmed/37208419 http://dx.doi.org/10.1038/s41598-023-34977-0 |
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