Abstract
In recent years, compression steganography technology has attracted the attention of many scholars. Among all image compression method, absolute moment block truncation coding (AMBTC) is a simple and effective compression method. Most AMBTC-based reversible data hiding (RDH) schemes do not guarantee that the stego AMBTC compression codes can be translated by the conventional AMBTC decoder. In other words, they do not belong to Type I AMBTC-based RDH scheme and easily attract malicious users’ attention. To solve this problem and enhance the hiding capacity, we used (7,4) hamming code to design a Type I AMBTC-based RDH scheme in this paper. To provide the reversibility feature, we designed a prediction method and judgement mechanism to successfully select the embeddable blocks during the data embedding phase and data extraction and recovery phase. In comparing our approach with other BTC-based schemes, it is confirmed that our hiding capacity is increased while maintaining the limited size of the compression codes and acceptable image quality of the stego AMBTC-compressed images.
Highlights
Data hiding, called steganography [1], is the study of embedding secret message into innocuous cover media [2], such as images, audio signals, and videos files, to protect the confidentiality of the hidden data
We proposed reversible data hiding (RDH) based on absolute moment block truncation coding (AMBTC) with (7,4) hamming code
Before embedding the secret bits, we determined which blocks were embeddable, and we embedded the secret bits into this embeddable block with (7,4)
Summary
Called steganography [1], is the study of embedding secret message into innocuous cover media [2], such as images, audio signals, and videos files, to protect the confidentiality of the hidden data. The weakness of their scheme is their low hiding capacity To overcome this disadvantage, Lu et al [17] proposed an RDH method based on VQ-index residual value coding technique. To avoid drawing the attention of attackers, in this paper, we tried to design a Type I-RDH scheme for AMBTC-compressed images. In 2018, the same research team designed a dual image-based RDH scheme using (7,4) hamming code [33]. According to the lectures we have collected to date, no one has used (7,4) hamming code to design RDH for a single, AMBTC-compressed image. The original AMBTC compression codes can be completely restore once the hidden data has been extracted with our proposed scheme.
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