Implementation of Block-Based Hierarchical Prediction for Developing an Error-Propagation-Free Reversible Data Hiding Scheme

Hu, Weihao; Ló,; Wu, Vivian C.H.

doi:10.3390/sym11091146

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…It will be our next research topic to allow our proposed RDH scheme to be supportive for various applications while maintaining security of the hidden data. Moreover, the data hiding method based on neural networks [36] and other methods [37][38][39][40][41] will be included to improve the hiding capacity in the future.…”

Section: Discussionmentioning

confidence: 99%

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Lin

Chang

2019

Symmetry

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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.

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Section: Discussionmentioning

confidence: 99%

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Lin

Chang

2019

Symmetry

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“…As it is pointed out in [3], the embedding capacity and visual symmetry/quality are complementary, which yields a very poor quality recovered image. Also, as can be seen from the above discussion, only one main mechanism is applied to create spare space for embedding secret data in most methods, which seriously limits the improvement of embedding capacity.…”

Section: Introductionmentioning

confidence: 99%

“…In the past few years, as researchers have paid more attention to privacy protection [1], the reversible data hiding (RDH) [2][3][4][5] technique has greatly developed, in which secret information can be embedded into the multimedia medium without any obvious distortion. Meanwhile, the extracted embedded data is lossless, and even the restored host medium is exactly the same as the original.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images Based on Hybrid Prediction and Huffman Coding

Sui

Liu

et al. 2023

Symmetry

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As an interesting technique that allows data extraction and image recovery without any loss, reversible data hiding in encrypted images is an area of great concern in the field of information security. In this paper, a new reversible data hiding method with high embedding capacity is proposed based on hybrid prediction and Huffman coding. The combination of two embedding mechanisms is innovatively designed to improve the embedding capacity according to different parts of the original image, i.e., the most significant bit-plane and the remaining seven bit-planes. In the first part of this method, the prediction value of each pixel is obtained by calculating the average value of its two neighboring pixels, and all of the most significant bits can be vacated to accommodate additional data. In the second part, the prediction value of each pixel is calculated using the median edge detector predictor, on which the tag map is built. Then, Huffman coding is used to compress the tag map so that a large amount of vacant space is obtained. Finally, the secret data can be embedded into the vacated space by directly using bit substitution. Compared with some recently reported methods, experimental results and analysis have demonstrated that an original image with high visual symmetry/quality can be recovered. Also, larger embedding capacity can be achieved, such as 3.3894 bpp and 3.2824 bpp, for BOSSBase and BOWS2 databases, respectively.

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A high payload block-based data hiding scheme using multi-encoding methods

Leng,

Hu,

Tseng

2023

Multimed Tools Appl

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Implementation of Block-Based Hierarchical Prediction for Developing an Error-Propagation-Free Reversible Data Hiding Scheme

Cited by 4 publications

References 32 publications

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Reversible Data Hiding in Encrypted Images Based on Hybrid Prediction and Huffman Coding

A high payload block-based data hiding scheme using multi-encoding methods

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