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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/21/9/910 |
| _version_ | 1798025437638557696 |
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| author | Hao-Tian Wu Yue Wu Zhihao Guan Yiu-ming Cheung |
| author_facet | Hao-Tian Wu Yue Wu Zhihao Guan Yiu-ming Cheung |
| author_sort | Hao-Tian Wu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T18:19:04Z |
| format | Article |
| id | doaj.art-a506816480fc4181a3a71df627d789b1 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T18:19:04Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-a506816480fc4181a3a71df627d789b12022-12-22T04:09:49ZengMDPI AGEntropy1099-43002019-09-0121991010.3390/e21090910e21090910Lossless Contrast Enhancement of Color Images with Reversible Data HidingHao-Tian Wu0Yue Wu1Zhihao Guan2Yiu-ming Cheung3School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, ChinaDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, ChinaRecently, 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.https://www.mdpi.com/1099-4300/21/9/910contrast enhancementreversible data hidingHSV color modelcolor differenceentropy |
| spellingShingle | Hao-Tian Wu Yue Wu Zhihao Guan Yiu-ming Cheung Lossless Contrast Enhancement of Color Images with Reversible Data Hiding Entropy contrast enhancement reversible data hiding HSV color model color difference entropy |
| 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 | contrast enhancement reversible data hiding HSV color model color difference entropy |
| url | https://www.mdpi.com/1099-4300/21/9/910 |
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