Reversible Data Hiding in Encrypted Images With Adaptive Huffman Code Based on Dynamic Prediction Axes

Document Type

Article

Publication Date

1-1-2024

Abstract

With the development of data security and privacy requirements in the field of cloud computing, Reversible Data Hiding in Encrypted Images (RDHEI) in encryption domain has received increasing attention. In order to take full advantage of the spatial and textural features of the original image, reversible data hiding in encrypted image with adaptive Huffman code based on Dynamic Prediction Axes (RDHEI-HDA) is proposed. First, the prediction errors of the original plaintext image are calculated according to the multidirectional median edge detector (M-MED) combined with the Dynamic Prediction Axes which are generated by the spatial correlation of the original image. After encryption process with the stream cipher, the adaptive Huffman coding labeling rule is created for pixel labeling and classification according to the Dynamic Prediction Axes and the distribution of prediction errors. Finally, bit substitution is employed to insert secret data and side information into the image. In Comparison to most of the state-of-the-art RDHEI methods, the experimental results show that the RDHEI-HDA method provides a higher pure payload while ensuring safety.

Identifier

85180326746 (Scopus)

Publication Title

IEEE Transactions on Multimedia

External Full Text Location

https://doi.org/10.1109/TMM.2023.3342700

e-ISSN

19410077

ISSN

15209210

First Page

5962

Last Page

5975

Volume

26

Grant

62172233

Fund Ref

National Natural Science Foundation of China

This document is currently not available here.

Share

COinS