Abstract
In this paper, two reversible data hiding (RDH) methods for vector quantization (VQ)-compressed images are presented. In the first method, the difference-index table instead of the standard-index table is designed, and all difference indices are then classified into two groups, i.e., the to-be-mapped group and the candidate group, according to the occurrence frequencies of them. Afterwards, the mapping table between those two groups is adaptively constructed and used to serve for data embedding. Furthermore, another joint method is conducted by combining the standard-index based method and the difference-index based method, resulting in a better embedding performance. The experimental results confirm that both proposed methods, especially the joint method, are significantly superior to the most recent schemes in terms of the embedding capacity, bitrate and embedding rate.
Highlights
Data hiding embeds secret data imperceptibly into a cover media, such as a video, a piece of audio, an image, etc
Before providing the detailed embedding processes, we introduce how to adaptively assign indices between two groups and construct a mapping table based on standard index, as shown below
To evaluate the overall embedding efficiency of those vector quantization (VQ)-based reversible data hiding schemes, we use the embedding rate to further measure the ability of carrying secret bits of the developed data hiding scheme
Summary
Data hiding ( called data embedding or information hiding) embeds secret data imperceptibly into a cover media, such as a video, a piece of audio, an image, etc. Traditional data hiding is usually irreversible, and the embedding process brings permanent distortion to the original host image, which is unacceptable in circumstances where a complete reconstruction of the original host image and verification of data are required, such as encrypted data annotation in the cloud environment, remote medical diagnostic and judicial forensics, and so on. To achieve data hiding and a non-distortional reconstruction of original cover media, reversible ( called lossless) data. Because the image is usually stored or transmitted in the form of compressed file, such a reversible data hiding technique for compressed images has become a research hotspot
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