A High Capacity Reversible Data Hiding in Encrypted AMBTC-Compressed Images

Abstract

Recently, reversible data hiding in encrypted compressed images (RDHECI) has attracted more attention due to privacy information protection concerns. Meanwhile, AMBTC as one technique of lossy image compression that has lower storage costs and the simplicity in computation and is extensively used in many applications. Hence, this paper proposes an RDHECI scheme based on AMBTC, named O-AMBTC, to address privacy concerns. First, the original image is scrambled in a block-wise manner to generate the scrambled image which then is compressed by an AMBTC compression technique. Subsequently, the derived AMBTC compression codes are encrypted by using the methods of value modulation and stream cipher while the correlations between two quantization levels of AMBTC compression codes are retained and exploited to vacate redundant room to embed secret messages. Data hiding is then performed with the use of PBTL labeling strategy. In addition, another modified AMBTC compression code based RDHECI scheme, called M-AMBTC, is suggested to increase the ability to carry secret messages. In our dual approach, both the AMBTC-compressed image and the secret messages can be correctly recovered. Experimental results show that two proposed schemes are able to achieve average embedding rates as large as 0.6 bpp and 0.8 bpp when the block size is set to 2 × 2, respectively.

Secure high capacity tetris‐based scheme for data hiding

“…Data hiding (DH) is one technique that has been designed to hide secret messages using various cover media, i.e. images, videos, and audios files, for secret and secure communication [1–4] or the error resilience of multimedia communications [5–7]. The key point of DH lies on the imperceptible modifications made on cover media so that the human eyes have difficulty detecting any distortion caused by DH.…”

Reversible Data Hiding Scheme Based on Adjusting Pixel Modulation and Block-Wise Compression for Encrypted Images

“…c: NOISE AND CROPPING ATTACKS Fig. 9 demonstrates the noise and cropping attacks [28]- [31] to the encrypted Baboon image, to evaluate the robustness of the proposed encryption method. Here, the encrypted image is generated under a = 2 and b = 5.…”

LRW-CRDB: Lossless Robust Watermarking Scheme for Categorical Relational Databases

“…With the rapid development of the Internet and digital processing technologies, the ownership protection of digital content, such as an image, audio, videos, and so on, has become a crucial issue. As an important research topic, various approaches are employed, i.e., data hiding [1][2][3][4][5] and watermarking techniques [6][7][8][9][10][11][12][13], to protect the legal owner and protect digital data from illegal manipulations. The main objectives of the above approaches can be achieved by concealing watermarks, such as a company's brand logo or an owner's personal signature, in the original content, so that the authenticated owners can claim their ownership of the digital content by successfully extracting the hidden watermark.…”