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Open AccessArticle

Lossless Contrast Enhancement of Color Images with Reversible Data Hiding

by Hao-Tian Wu 1,*, Yue Wu 1,†, Zhihao Guan 1,† and Yiu-ming Cheung 2
1
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
2
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Entropy 2019, 21(9), 910; https://doi.org/10.3390/e21090910
Received: 26 August 2019 / Revised: 12 September 2019 / Accepted: 16 September 2019 / Published: 18 September 2019
(This article belongs to the Special Issue Entropy Based 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 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. View Full-Text
Keywords: contrast enhancement; reversible data hiding; HSV color model; color difference; entropy contrast enhancement; reversible data hiding; HSV color model; color difference; entropy
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Wu, H.-T.; Wu, Y.; Guan, Z.; Cheung, Y.-M. Lossless Contrast Enhancement of Color Images with Reversible Data Hiding. Entropy 2019, 21, 910.

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