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Separable and Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling | IEEE Journals & Magazine | IEEE Xplore

Separable and Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling


Abstract:

This paper first introduces a parametric binary tree labeling scheme (PBTL) to label image pixels in two different categories. Using PBTL, a data embedding method (PBTL-D...Show More

Abstract:

This paper first introduces a parametric binary tree labeling scheme (PBTL) to label image pixels in two different categories. Using PBTL, a data embedding method (PBTL-DE) is proposed to embed secret data to an image by exploiting spatial redundancy within small image blocks. We then apply PBTL-DE into the encrypted domain and propose a PBTL-based reversible data hiding method in encrypted images (PBTL-RDHEI). PBTL- RDHEI is a separable and reversible method that both the original image and secret data can be recovered and extracted losslessly and independently. Experiment results and analysis show that PBTL- RDHEI is able to achieve an average embedding rate as large as 1.752 bpp and 2.003 bpp when block size is set to 2 × 2 and 3 × 3, respectively.
Published in: IEEE Transactions on Multimedia ( Volume: 21, Issue: 1, January 2019)
Page(s): 51 - 64
Date of Publication: 07 June 2018

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