Abstract
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.
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Acknowledgment
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.
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Wu, HT., Liu, Y., Shi, YQ. (2015). Reversible Data Hiding by Median-Preserving Histogram Modification for Image Contrast Enhancement. In: Shi, YQ., Kim, H., Pérez-González, F., Yang, CN. (eds) Digital-Forensics and Watermarking. IWDW 2014. Lecture Notes in Computer Science(), vol 9023. Springer, Cham. https://doi.org/10.1007/978-3-319-19321-2_22
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DOI: https://doi.org/10.1007/978-3-319-19321-2_22
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