TY - JOUR
T1 - Reversible data hiding by median-preserving histogram modification for image contrast enhancement
AU - Wu, Hao Tian
AU - Liu, Yuan
AU - Shi, Yun Qing
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (No.61100169), the Fundamental Research Funds for the Central Universities of China (No.JUSRP1047) and China Scholarship Council (No. 201208440173). The authors would like to thank Mr. Shu Hong at Columbia University in the City of New York, Fu Foundation School of Engineering and Applied Science, IEOR Department, for conducting part of the experiments.
PY - 2015
Y1 - 2015
N2 - A new image reversible data hiding algorithm is proposed in this paper based on histogram modification. Instead of trying to keep the image PSNR value high after data hiding, the proposed algorithm aims at enhancing the image contrast for better visual effect. To make the hidden data blindly extractable, the median point in the histogram is preserved after modifying two selected bins in a special way. Multiple pairs of histogram bins are further selected to be modified in sequence to achieve the effect of contrast enhancement. To avoid overflow and underflow, pre-process is performed on the pixel values and a location map is generated. By embedding the side information along with the message bits, the original image can be completely recovered without additional information. The proposed algorithm was applied to two sets of test images and the experimental results have shown that the better effect of contrast enhancement can be achieved than the previous works. In addition to reversibility, the evaluation results show that the visual quality of test images has been preserved after data hiding, even better than three specific MATLAB functions.
AB - A new image reversible data hiding algorithm is proposed in this paper based on histogram modification. Instead of trying to keep the image PSNR value high after data hiding, the proposed algorithm aims at enhancing the image contrast for better visual effect. To make the hidden data blindly extractable, the median point in the histogram is preserved after modifying two selected bins in a special way. Multiple pairs of histogram bins are further selected to be modified in sequence to achieve the effect of contrast enhancement. To avoid overflow and underflow, pre-process is performed on the pixel values and a location map is generated. By embedding the side information along with the message bits, the original image can be completely recovered without additional information. The proposed algorithm was applied to two sets of test images and the experimental results have shown that the better effect of contrast enhancement can be achieved than the previous works. In addition to reversibility, the evaluation results show that the visual quality of test images has been preserved after data hiding, even better than three specific MATLAB functions.
KW - Histogram modification
KW - Image contrast enhancement
KW - Median point
KW - Reversible data hiding
KW - Visual quality
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U2 - 10.1007/978-3-319-19321-2_22
DO - 10.1007/978-3-319-19321-2_22
M3 - Conference article
AN - SCOPUS:84983670528
SN - 0302-9743
VL - 9023
SP - 289
EP - 301
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 13th International Workshop on Digital-Forensics and Watermarking , IWDW 2014
Y2 - 1 October 2014 through 4 October 2014
ER -