2020
DOI: 10.1109/tmm.2019.2952979
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An Improved Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

Abstract: This work proposes an improved reversible data hiding scheme in encrypted images using parametric binary tree labeling(IPBTL-RDHEI), which takes advantage of the spatial correlation in the entire original image not in small image blocks to reserve room for embedding data before image encryption, then the original image is encrypted with a secret key and parametric binary tree labeling is used to label image pixels in two different categories. According to the experimental results, compared with several state-o… Show more

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Cited by 98 publications
(70 citation statements)
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“…The key indicator of RDHEI is the size of EC, in other words, the ER. In order to better demonstrate the ER of our proposed method, this section compares ER with three latest state-of-the-art RDHEI methods [20,22,23]. As shown in Figure. 13, we tested five images using these methods.…”
Section: Comparison With State-of-the-art Methodsmentioning
confidence: 99%
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“…The key indicator of RDHEI is the size of EC, in other words, the ER. In order to better demonstrate the ER of our proposed method, this section compares ER with three latest state-of-the-art RDHEI methods [20,22,23]. As shown in Figure. 13, we tested five images using these methods.…”
Section: Comparison With State-of-the-art Methodsmentioning
confidence: 99%
“…For example, when using Puteaux et als method [20], the ER of Lena image is only 0.977 bpp. Compared with [20], Wu et al [23] considered that spatial correlation can be used to increase the ER, and finally the embedding rate of Lena image is 2.645 bpp. In addition, Yin et al [22] uses multiple MSBs, but still doesnt make use of the embeddable room of each bit plane.…”
Section: Comparison With State-of-the-art Methodsmentioning
confidence: 99%
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