TY - JOUR
T1 - A novel reversible data hiding method with image contrast enhancement
AU - Wu, Hao Tian
AU - Tang, Shaohua
AU - Huang, Jiwu
AU - Shi, Yun Qing
N1 - Funding Information:
This work was supported by Natural Science Foundation of China (No. 61772208 , 61632013 ), Natural Science Foundation of Jiangsu Province of China (No. BK20151131 ), Guangdong Provincial Natural Science Foundation (No. 2014A030308006 ), Guangdong Provincial Project of Science and Technology (No. 2016B090920081 ), and SCUT Fundamental Research Funds for the Central Universities of China (No. 2017MS038 ). Many thanks to the anonymous reviewers for their insightful comments and valuable suggestions, which helped a lot to improve the paper quality!
PY - 2018/3
Y1 - 2018/3
N2 - Recently, several image contrast enhancement methods have been proposed such that the original image can be recovered from its contrast-enhanced version. Hence a flexibility in changing image contrast can be provided when needed. However, the artificial distortions may be introduced into the image content after adopting these methods. Meanwhile, there is lack of using the adequate image quality metrics for performance evaluation. In this paper, a novel reversible data hiding method is proposed for image contrast enhancement. To better preserve image quality, it is restricted that only the adjacent bins in the original image histogram may be merged in the pre-processing. The proposed method has been applied to two image sets and compared with the previous methods. For image quality assessment, the PSNR, SSIM and three no-reference metrics have been adopted in performance evaluation. The experimental results have clearly shown that better visual quality can be achieved with the proposed method. Besides recovering the original images, extra data can be hidden into the contrast-enhanced images and correctly extracted.
AB - Recently, several image contrast enhancement methods have been proposed such that the original image can be recovered from its contrast-enhanced version. Hence a flexibility in changing image contrast can be provided when needed. However, the artificial distortions may be introduced into the image content after adopting these methods. Meanwhile, there is lack of using the adequate image quality metrics for performance evaluation. In this paper, a novel reversible data hiding method is proposed for image contrast enhancement. To better preserve image quality, it is restricted that only the adjacent bins in the original image histogram may be merged in the pre-processing. The proposed method has been applied to two image sets and compared with the previous methods. For image quality assessment, the PSNR, SSIM and three no-reference metrics have been adopted in performance evaluation. The experimental results have clearly shown that better visual quality can be achieved with the proposed method. Besides recovering the original images, extra data can be hidden into the contrast-enhanced images and correctly extracted.
KW - Adjacent bin
KW - Contrast enhancement
KW - Histograms
KW - Image quality
KW - Reversible data hiding
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U2 - 10.1016/j.image.2017.12.006
DO - 10.1016/j.image.2017.12.006
M3 - Article
AN - SCOPUS:85039722346
SN - 0923-5965
VL - 62
SP - 64
EP - 73
JO - Signal Processing: Image Communication
JF - Signal Processing: Image Communication
ER -