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Reversible Watermarking in Medical Images Using Sub-Sample and Multiple Histogram Modification

Reversible Watermarking in Medical Images Using Sub-Sample and Multiple Histogram Modification

Lin Gao, Yunjie Zhang, Guoyan Li
Copyright: © 2020 |Volume: 13 |Issue: 4 |Pages: 16
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781799805489|DOI: 10.4018/JITR.2020100106
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MLA

Gao, Lin, et al. "Reversible Watermarking in Medical Images Using Sub-Sample and Multiple Histogram Modification." JITR vol.13, no.4 2020: pp.75-90. http://doi.org/10.4018/JITR.2020100106

APA

Gao, L., Zhang, Y., & Li, G. (2020). Reversible Watermarking in Medical Images Using Sub-Sample and Multiple Histogram Modification. Journal of Information Technology Research (JITR), 13(4), 75-90. http://doi.org/10.4018/JITR.2020100106

Chicago

Gao, Lin, Yunjie Zhang, and Guoyan Li. "Reversible Watermarking in Medical Images Using Sub-Sample and Multiple Histogram Modification," Journal of Information Technology Research (JITR) 13, no.4: 75-90. http://doi.org/10.4018/JITR.2020100106

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Abstract

This paper proposed a reversible medical image watermarking scheme using multiple histogram modification (MHM) and redundant discrete wavelet transform (RDWT). The MHM was introduced to the proposed scheme to enhance the embedding capacity. By embedding the watermark in the RDWT coefficients, the proposed scheme exploited the visual masking property of RDWT to guarantee the visual quality. Also, the proposed scheme has better performance on embedding capacity because the RDWT has several sub-band coefficients for embedding. The experimental results on medical images suggests that the proposed scheme could meet the demand of perceptional quality with better embedding capacity than former schemes.

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