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Lossless Contrast Enhancement of Color Images with Reversible Data Hiding
Recently, lossless contrast enhancement (CE) has been proposed so that a contrast-changed image can be converted to its original version by maintaining information entropy in it. As most of the lossless CE methods are proposed for grayscale images, artifacts are probably introduced after directly ap...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515439/ http://dx.doi.org/10.3390/e21090910 |
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author | Wu, Hao-Tian Wu, Yue Guan, Zhihao Cheung, Yiu-ming |
author_facet | Wu, Hao-Tian Wu, Yue Guan, Zhihao Cheung, Yiu-ming |
author_sort | Wu, Hao-Tian |
collection | PubMed |
description | Recently, lossless contrast enhancement (CE) has been proposed so that a contrast-changed image can be converted to its original version by maintaining information entropy in it. As most of the lossless CE methods are proposed for grayscale images, artifacts are probably introduced after directly applying them to color images. For instance, color distortions may be caused after CE is separately conducted in each channel of the RGB (red, green, and blue) model. To cope with this issue, a new scheme is proposed based on the HSV (hue, saturation, and value) color model. Specifically, both hue and saturation components are kept unchanged while only the value component is modified. More precisely, the ratios between the RGB components are maintained while a reversible data hiding method is applied to the value component to achieve CE effects. The experimental results clearly show CE effects obtained with the proposed scheme, while the original color images can be perfectly recovered. Several metrics including image entropy were adopted to measure the changes made in CE procedure, while the performances were compared with those of one existing scheme. The evaluation results demonstrate that better image quality and increased information entropy can be simultaneously achieved with our proposed scheme. |
format | Online Article Text |
id | pubmed-7515439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75154392020-11-09 Lossless Contrast Enhancement of Color Images with Reversible Data Hiding Wu, Hao-Tian Wu, Yue Guan, Zhihao Cheung, Yiu-ming Entropy (Basel) Article Recently, lossless contrast enhancement (CE) has been proposed so that a contrast-changed image can be converted to its original version by maintaining information entropy in it. As most of the lossless CE methods are proposed for grayscale images, artifacts are probably introduced after directly applying them to color images. For instance, color distortions may be caused after CE is separately conducted in each channel of the RGB (red, green, and blue) model. To cope with this issue, a new scheme is proposed based on the HSV (hue, saturation, and value) color model. Specifically, both hue and saturation components are kept unchanged while only the value component is modified. More precisely, the ratios between the RGB components are maintained while a reversible data hiding method is applied to the value component to achieve CE effects. The experimental results clearly show CE effects obtained with the proposed scheme, while the original color images can be perfectly recovered. Several metrics including image entropy were adopted to measure the changes made in CE procedure, while the performances were compared with those of one existing scheme. The evaluation results demonstrate that better image quality and increased information entropy can be simultaneously achieved with our proposed scheme. MDPI 2019-09-18 /pmc/articles/PMC7515439/ http://dx.doi.org/10.3390/e21090910 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Hao-Tian Wu, Yue Guan, Zhihao Cheung, Yiu-ming Lossless Contrast Enhancement of Color Images with Reversible Data Hiding |
title | Lossless Contrast Enhancement of Color Images with Reversible Data Hiding |
title_full | Lossless Contrast Enhancement of Color Images with Reversible Data Hiding |
title_fullStr | Lossless Contrast Enhancement of Color Images with Reversible Data Hiding |
title_full_unstemmed | Lossless Contrast Enhancement of Color Images with Reversible Data Hiding |
title_short | Lossless Contrast Enhancement of Color Images with Reversible Data Hiding |
title_sort | lossless contrast enhancement of color images with reversible data hiding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515439/ http://dx.doi.org/10.3390/e21090910 |
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